Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Lv, Zhongguo | Wang, Liping | Zhang, Wei

Article Type: Research Article

Abstract: At present, the development of China’s economy is inseparable from the promotion of innovation and entrepreneurship. However, there are huge differences in the level of entrepreneurship in different regions, so it is urgent to analyze the influencing factors of entrepreneurship. This paper uses panel data of 31 provinces in 2008–2017 to test the impact of urban unemployment rate, regional financial development level, market scale, agglomeration effect, entrepreneurial cost, scientific and technological innovation level, government support and other factors on entrepreneurial level. To solve the issue of factors influencing the enterprises, we utilised an effective way of fuzzy logic along with …decision estimation strategy. The empirical results show that regional financial development level, agglomeration effect, technological innovation ability, government support and so on have a positive role in promoting the level of entrepreneurship, while urban unemployment rate has no significant effect on the level of entrepreneurship. Based on the empirical conclusion, the paper puts forward some policy suggestions. Show more

Keywords: Entrepreneurship level, influencing factors, regional difference, panel data, fuzzy logic

DOI: 10.3233/JIFS-189658

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8371-8377, 2021

Authors: Wu, Min | Xu, Junhua | Zhu, Shanshan | Lei, Jinzhi | Gao, Jie

Article Type: Research Article

Abstract: Analysis of single-cell RNA sequencing (scRNA-seq) data is often complicate due to the sparsity and high data dimensionality. In this work, we proposed Fuzzy C-means based linear stable-exponential distribution (LSED) model for analyzing scRNA-seq count data of chronic myeloid leukemia (CML) patients. We propose pipelines stages for analysis in which noisy and inconsistent data form sequencing is removed during data preprocessing, this process data then form the cluster of gene feature using fuzzy c-means (FCM) clustering, relevant features are extracted during feature extraction approach. These extracted features are then fed into LSED model in order to difference feature data of …gene expression. Finally we evaluate the performance for proposed analysis model based on parameter estimation, distribution comparison and parameter analysis. From the result analysis it was observed that proposed analysis model parameter reflect change in condition of patient more effectively as well as this model fits difference data of gene expression in more better way in comparison to Cauchy and stable distribution. Additional, the results of Gene-set enrichment analysis specify the affinity of proposed model can replicate the distinct enhancement of BCR-ABL+ stem cell as well as BCR-ABL- stem cells. Significantly, proposed FCM based LSED analysis model studies CML from the perspective of statistical models, which present a new sight for CML scientific research. Show more

Keywords: Chronic Myeloid Leukemia (CML), Alignment, Fuzzy C-Means (FCM), Linear Stable-Exponential Distribution Model (LSED model), stable distribution, feature extraction, gene expression, cauchy distribution

DOI: 10.3233/JIFS-189659

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8379-8388, 2021

Authors: Yu, Jiagen

Article Type: Research Article

Abstract: As we know, AI is deeply integrated with all walks of life. While upgrading traditional products and transforming traditional industries, a large number of new products, new industries and new formats have emerged in large numbers, and new industrial space has been further expanded. The potential for steady economic growth remains huge. However, the influence of merelygrowing capital asset and labor force dimension in terms of boosting economic progress has been waning globally. Considering the China’s data panel data outlying areas during 1978–2017 as the research sample, possible economic growing rate of Chinahas been calculated in detail according to the …labor-intensive structural time-varying elastic model. It shows a U-shaped development track during 2018–2027, with an average growth rate between 5.00%and 6.00%. There are also great variances in the probable economy growing rates in different regions in China. It shows that relying solely on traditional factors of production to drive potential economic growth, China has been unable to maintain the prosperity of stable development over the past few decades. Based on the experience of typical representative countries, this paper also puts forward some relevant countermeasures and suggestions including focusing on a new round of technological revolutions such as big data, new generation AI, 5 G, IOT, cloud computing, robotics, and blockchain to progress economical growing rate of China in the future. Show more

Keywords: Economic growth, potential output, AI, china, fuzzy rule, artificial neural network (ANN)

DOI: 10.3233/JIFS-189660

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8389-8402, 2021

Authors: GAO, Yang

Article Type: Research Article

Abstract: With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve …the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest. Show more

Keywords: Technology linkage, innovation drive, economic network, fuzzy-Integrated TOPSIS, technique for order of preference by similarity to ideal solution (TOPSIS)

DOI: 10.3233/JIFS-189661

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8403-8415, 2021

Authors: Li, Ning | Feng, Junwen

Article Type: Research Article

Abstract: Recent year development in each field and area progresses rapidly. For one particular product or service, people have multiple alternative. However, to choose best alternative is most difficult task that most of person facing. VIKOR method is most used approach for choosing best alternative based on different criteria but legging in precision. In this paper, we propose modifier VIKOR with Fuzzy logic integration approach that deal with multiple criteria while making decision as well as integratestriangular fuzzy numbers (TFN) for computing criteria values and weight importance in the processing selecting best alternative. Firstly, positive best points and negative best points …were demarcated in a triangular fuzzy number evaluation matrix. Secondly, we analyze the requirements and properties of the VIKOR-based triangular fuzzy number operation rule. Thirdly, an extension of VIKOR method was proposed for comprehensive evaluation of schemes to reduce the information loss arising from defuzzification of triangular fuzzy numbers; Finally, an example demonstrate the efficiency and viability of the method. In conclusion, the proposed method solves the difficulties that subtractive computation between two triple numbers violate the arithmetic regulation, and propose a reasonable procedure according to decision making problems with triple numbers. Show more

Keywords: Vlse kriterijumska optimizacija I kompromisno resenje(VIKOR), technique for order preference by similarity to ideal solution (TOPSIS) triangular fuzzy number (TFN), positive best points and negative best points

DOI: 10.3233/JIFS-189662

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8417-8425, 2021

Authors: Wang, Guilian | Zhang, Liyan | Guo, Jing

Article Type: Research Article

Abstract: This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level …of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations. Show more

Keywords: MSEs, level of AMT application, social-technical system theory, ordinal logistic regression

DOI: 10.3233/JIFS-189663

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8427-8437, 2021

Authors: Zhao, Dongmei | Song, Huiqian | Li, Hong

Article Type: Research Article

Abstract: The element extraction from network security condition is the foundation security awareness. Its excellence directly disturbsentire security system performance. In this paper we introduce fuzzy logic based rough set theory for extracting security conditional factors. The traditional extraction method of network security situation elements relies on a lot of prior knowledge. With the purpose of solving this issue, in this paper we proposed fuzzy rough set theory based featurerank matrix of neighborhood rough set. Additionally, we propose reduction based parallel algorithm that uses the concept of conditional entropy in order to constructs the feature rank matrix as well as, constructs …the core attribute by using reduction rules, takes the threshold of standard deviation as the threshold, and redefines the multi threshold neighborhood of mixed data. The attack type recognition training is carried out on lib SVM, filtered classifier, j48 and random tree classifiers respectively. The results demonstrate that the proposed reduction based parallel algorithm can increase the accuracy of classification, shorten the modeling time, and show increased recall rate and decreased false alarm rate. Show more

Keywords: Situation factor extraction, neighborhood rough set, attribute reduction, parallel reduction, fuzzy rough set

DOI: 10.3233/JIFS-189664

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8439-8450, 2021

Authors: Shi, Ruyi | Wang, Di | Zhao, Yueying

Article Type: Research Article

Abstract: From the perspective of external market shocks, this paper proposed fuzzy integrated vector auto regression (FVAR) model that determines the long-term basis and short-term basis interactions of China’s coal price with international energy prices. The proposed FVAR preform coal price fluctuation based on long-term and short term span in six stages including unit root testing, Johansen cointegration test, vector auto regression (VAR) model construction, fuzzification of VAR model, vector error correction (VEC) model and an impulse response function(IRF). It is observed that there is a steady long-term stability and equilibrium bond between the China’s domestic coal price, international coal price …and the international crude (unrefined) oil price. The international coal and international crude oil price have an opposite effect on China’s domestic coal price. In addition, the former has a stronger fuzzy price discovery function on China’s domestic coal market than the latter. In the short term, China’s domestic coal price is more complex to instability reactions and is affected by market expectations. The international energy market is more effective than domestic coal market, and there is a relatively stable price adjustment mechanism between the two, with the international coal price playing a leading role in the fuzzy guidance of China’s coal price. Therefore, in reference to international energy pricing models, the paper proposes a fuzzy pricing model for a coal futures index based on the coal futures trading price and supplemented by the premium and discount agreed to by both trading parties. Show more

Keywords: China’s coal price, international energy market, fuzzy price discovery, shocks, fuzzy linear regression, vector auto regressive (VAR) model, vector error correction (VEC) model, impulse response function(IRF)

DOI: 10.3233/JIFS-189665

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8451-8461, 2021

Authors: Yang, Ling | Li, Linyue

Article Type: Research Article

Abstract: In this work, we study the impact of China’s services sector liberalization reform on the country’s manufacturing sector. In this paper we propose Fuzzy based association between service industry and Manufacturing Industry with performance evaluation of Manufacturing Industry based on different performance criteria. The results analysis of proposed work suggest that there is: a extremely important and constructive relationship between the existence of reserved services suppliers and the efficiency of downstream manufacturing companies; a constructive (yet unsteady) relationship between the existence of overseas services suppliers and manufacturing efficiency; and a important and adverse relationship between the extent of state-owned services …providers and manufacturing productivity. Curiously, our results also suggest that given the unstable association between the presence of foreign services providers and manufacturing performance, overall imported services (including foreign services providers operating in China) have a highly significant and positive association with manufacturing productivity. In addition, taking into account firm heterogeneity, such as AI (artificial intelligence), our results suggest that there is no difference in the above effects of China’s services sector’s liberalization between those manufacturing firms that engage in importing and exporting and the manufacturing firms that do not. Show more

Keywords: Liberalization, services, productivity, manufacturing, firm heterogeneity, AI (artificial intelligence), fuzzy system

DOI: 10.3233/JIFS-189666

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8463-8476, 2021

Authors: Zhu, Chengke | Wang, Junshan

Article Type: Research Article

Abstract: With the development of technology and artificial intelligence(AI), financial leasing is used frequently in China’s equipment manufacturing industries, especially after 2008, which attracts our attention. This paper focuses on the problem. A theoretical model is provided in the paper to explain the motivation that why financial leasing is used in equipment manufacturing industries. In this paper, we employ multi-level fuzzy linear regression model to analyze data of manufacturing equipment industry of China in order to discover impact between sales revenue and financial leasing. We also discover credit sale forecasting using this model. We discover that economic leasing has a constructive …important effect on sales revenue in total samples, which is consistent with the theoretical framework. However, the results are different in sub-industries, which shows that economic leasing has a constructive and important effect on sales profits in some sub-industries, but some of them are not. Furthermore, we also find that asset characteristics has a substantial effect on financial leasing decision. The outcome demonstrates that the more precise the asset, the easier it can be leased. Show more

Keywords: Financial leasing, sales revenue, equipment manufacturing industry, promotion, artificial equipment intelligence, fuzzy linear regression model

DOI: 10.3233/JIFS-189667

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8477-8484, 2021

Authors: Chang, Chiu-Lan | Fang, Ming

Article Type: Research Article

Abstract: This paper explores the applications of support vector machines (SVM) technique and panel data econometric approach in innovation performance. We proposed Hybrid Fuzzy Logic with SVM based prediction analysis model to predict Innovation Performance of 3C Industry and then we construct the top management innovation awareness by text mining analysis, which differs from traditional methods, and then discusses the mediation function of financial flexibility in the relationship between innovation awareness and enterprise performance. Then, we use the financial econometric method panel regression and apply the SVM, a statistical technique that has gained special popularity in the field of AI to …test the relation between innovation performance and innovation awareness of top management in 3C industry. The findings show that there exists a significant position relationship between innovation awareness and innovation performance, and that the mediation function of financial flexibility does work. With the SVM approach, the innovation performance can be predicted well by top management innovation awareness. Show more

Keywords: Support vector machines, text mining, innovation performance, innovation awareness, financial flexibility

DOI: 10.3233/JIFS-189668

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8485-8492, 2021

Authors: Du, Yanwei | Chen, Feng | Fan, Xiaoyi | Zhang, Lei | Liang, Henggang

Article Type: Research Article

Abstract: With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and …volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy. Show more

Keywords: Cargo loading, optimization model, genetic algorithm (GA), fuzzy control system (FCS)

DOI: 10.3233/JIFS-189669

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8493-8500, 2021

Authors: Yangxuan, | Zhaoqianjing,

Article Type: Research Article

Abstract: In the last few years, the construction industry’s primary energydem and in developed economies accounted for 30%–40%, and technological innovation is considered to be an urgent need for the transformation and upgrading of the construction industry. New technological innovations are continually changing the way the construction industry is implemented. In the construction industry, artificial intelligence is beginning to change all aspects of the construction industry, in the field of equipment planning, overall layout, safety, management and other fields have caused many changes. The integration of new technologies has revolutionized the traditional construction industry, such as virtual reality technology and 3D …printing technology. In this work, we propose a categorization for assessing Virtual reality and 3D printing of Architectural Innovation on the basis of quality of experience (QoE) metric Evaluation of virtual environment using Fuzzy Logic (FL) System. The simulation result is analysed based on the comparative analysis of user experience with Fuzzy logic estimation for perception of virtual environment. The result analysis validated that the proposed FL system replicates the user valuation for architecture innovation applications more precisely and accurately thus FL is efficient method for predicting the inclusive QoE of a virtual reality and 3D printing. This paper will recapitulate the expansion of the two techniques in the manufacture engineering, demeanor examination on the presentation of diverse skills in architectural innovation, as well as explain through real cases how these two techniques have an influence on the improvement of the manufacture engineering. Simultaneously, this paper discourses the limitations of technology mixing and put advancing opinions on the future development of the manufactureengineering. Show more

Keywords: Virtual reality, 3D printing, construction, efficiency, innovation

DOI: 10.3233/JIFS-189670

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8501-8509, 2021

Authors: Guo, Lining | Yuan, Tian

Article Type: Research Article

Abstract: In recent years, social network analysis is one of the top 20 fields of artificial intelligence. Based on the network signal theory, this study examines the influence of the dual network embeddedness on the premiums of Chinese initial public offerings (IPOs). In this paper we proposed fuzzy regression model for forecasting the impact of venture capital network and underwriter network on IPO premium based on some hypothesis. We find that: (1) Enterprises embedded in the central position of venture capital network will increase the IPO secondary market premium; (2) Secondly, employing underwriter in the central position of underwriting network will …increase the IPO secondary market premium; (3) As venture capital are getting closer to the central position of venture capital network, the influence of underwriter network centrality in underwriting network on the increase of IPO secondary market reaction will gradually weaken. The research shows that occupying central position both in venture capital syndication network and underwriting network have the functions of sending signals, then increase the IPO secondary market premium, but the functions of different network signals will replace each other. Show more

Keywords: Network signal, venture capital network, underwriter network, central position

DOI: 10.3233/JIFS-189671

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8511-8521, 2021

Authors: Wang, Kuo-Yan

Article Type: Research Article

Abstract: The problem of waste reduction is particularly emphasized the sources of environmental income i.e. tax and unit-pricing, instead of stimulus recycling administrative in the published literatures. A long-term rebate policy for recycling fund allowance was implemented in different metropolitan districts. However, evaluating the recycling performance at the local level does not include examining its rationality and efficiency in detail. To understand the uncertainty of role in decision making for substitute ranking, analysis based on decision making using fuzzy interval for performance assessment. This article redefines the criteria for evaluating recycling performance at the township level with assistance of artificial intelligence, …and illustrates the results. We used a simple and swift evaluation process, namely, the VIKOR method, in place of the traditional public hearing or the Delphi method. The conclusion derived from the results can be used to analyze the effectiveness of the rebate policy for recycling at the township level. Show more

Keywords: Recycling fund allowance rebate, artificial intelligence, VIKOR, beneficial administration, fuzzy interval

DOI: 10.3233/JIFS-189672

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8523-8529, 2021

Authors: Zheng, Wang

Article Type: Research Article

Abstract: With the deepening of reform and opening up, the social management function of county government is becoming more and more important. As one of the symbols of the maturity of modern country, public service function is not only a test of the comprehensive ability of the country, but also a profound practice of serving the people. Aiming at the problem that traditional genetic algorithm is easy to fall into local optimal solution and its performance is unstable, an adaptive genetic algorithm (CEAGA) based on co-evolution is proposed. And then combined with some of the constraints inherent in the battlefield situation, …a comprehensive evaluation model was established. The analysis on social cooperative governance is carried based on the fuzzy TOPSIS which is utilised for making multi criteria decision making situations. Research shows that the innovation of the public service supply mechanism must respect the reality of China’s political ecology, ensure the government’s dominant position in the governance of public affairs, and at the same time correctly respond to the development of social forces. The theory of collaborative governance also provides a new research perspective for the innovation and development of public service mechanisms. Show more

Keywords: Improved genetic algorithm, social collaborative governance, public service, supply mechanism innovation, fuzzy TOPSIS

DOI: 10.3233/JIFS-189673

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8531-8540, 2021

Authors: Wang, Chunxia

Article Type: Research Article

Abstract: The multifractal behaviors in financial markets results from temporal correlations as well as broad distribution. To evaluate the intrinsic multifractality caused by temporal correlations, surrogate approach is employed under the rank order remapping technique and sign randomization. In contrast to raw multifractality, it is found that intrinsic multifractality is more stable across many years. In this work, we utilize ANFIS model for estimating the intrinsic multifractality in financial returns. Furthermore, the intrinsic multifractality of serial major instruments are highly correlated, which can be served as an index of global market.

Keywords: Multifractality, financial market, surrogate, temporal correlation, ANFIS model

DOI: 10.3233/JIFS-189674

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8541-8547, 2021

Authors: Wang, Hongyi

Article Type: Research Article

Abstract: The ultimate goal of listed companies is to maximize shareholders’ wealth. With the increasingly fierce market competition, enterprise managers are constantly exploring the key indicators that have an important impact on the financial performance (FP) of enterprises, and achieve the expected FP of shareholders by improving these key indicators. On the basis of the existing enterprise performance measurement system and index research, through expert scoring to determine the secondary indicators, this paper selects 87 small and medium-sized board listed companies which officially announced the implementation of equity incentive from 2009 to 2012 as the sample, takes the financial information disclosed …in 2013 as the empirical data, and analyzes the traditional multiple linear regression analysis (MLR) When dealing with big data, especially the data with hierarchical structure, this paper proposes a partial regression coefficient calculation model based on hierarchical data, constructs a multiple nonlinear regression model, and concludes through empirical analysis that there is a nonlinear correlation between equity incentive ratio and corporate performance, and that there is an interval effect between equity incentive ratio and corporate performance. We also present Fuzzy based financial performance prediction of listed companies. Finally, we demonstrate Comparative analysis for financial prediction in term of accuracy between multiple regression model and fuzzy logic system and result deduce that fuzzy logic gives better accuracy than regression model. Show more

Keywords: Multiple linear regression, data mining, hierarchical data, superior company finance; performance influencing factors

DOI: 10.3233/JIFS-189675

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8549-8561, 2021

Authors: Yu, Weiwei | Wang, Sijie

Article Type: Research Article

Abstract: With the rapid development of “Internet plus” in our country, the scope of its influence is also constantly expanding. Especially in recent years, China puts forward “mass entrepreneurship and innovation”, which makes the “cloud analysis” and “Internet plus” and “innovation” to start cross-border integration. Starting with the background, development stage, environment and other aspects of Internet-plus entrepreneurship and innovation under the cloud analysis, this paper analyzes the influence of various factors in the process of Internet plus entrepreneurship and innovation and the influence degree of various factors on entrepreneurship and innovation in depth, constructs the entrepreneurship and innovation evaluation index …system based on the “Internet plus”, and finally, combined with an example to verify the index system and fusion analysis method. The verification results show that the “Internet plus” entrepreneurship and innovation based on the perspective of cloud analysis in this paper can not only directly demonstrate the promoting factors of “entrepreneurship and innovation “under Internet plus”, but also be scientific and effective when evaluating the “Internet plus” entrepreneurship and innovation activities from the perspective of cloud analysis. Show more

Keywords: Internet plus, innovation and entrepreneurship, cloud analysis, fuzzy analysis method

DOI: 10.3233/JIFS-189676

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8563-8568, 2021

Authors: Wang, Ping | Han, Wei

Article Type: Research Article

Abstract: From the perspective of consumption preference and bequest preference, this paper constructs a financial actuarial model and studies thelifetime value change of senior citizens to participate in housing reverse mortgage(HRM). The research results are as follows: (1) The trade-off between changes in the value of consumption and inheritance is the main decision rule to participate in housing reverse mortgage(HRM), and the intensity of bequest motivation is an important constraint mechanism to the lifetime expectation value of the senior citizensparticipating in housing reverse mortgage(HRM); (2) When the bequest motivation of the elderly is relatively weak, the elderly have conversely strong consumption …preference, and the elderly participating in the non-redemption HRM can obtain higher lifelong value change; (3) When the bequest motivation of the elderly is relatively strong, the elderly have correspondingly strong bequest preference. Participating in the HRM with redemption option can realize the option of retaining part of the heritage value and reduce the volatility of heritage loss. Therefore, the restriction of bequest motivation on the demand of the elderly can be reduced to a certain extent, which is more suitable for the retired residents with strong heritage motivation. Show more

Keywords: Aging of the population, housing reverse mortgage (HRM), lifetime expectation value, redemption option, bequest motivation

DOI: 10.3233/JIFS-189677

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8569-8586, 2021

Authors: Rui, Wang | Qiuyang, Gu | Zhijiao, Yang

Article Type: Research Article

Abstract: In this era of artificial intelligence and information, the transformation and upgrading of enterprises plays a crucial role in their development. This study analyzes the regulatory penalties of listed companies published by the Shenzhen and Shanghai stock exchanges from 1996 to 2017, and explores the relationship between the number of enforcements of these companies and their innovation ability. Existing research literature confirms that board characteristics, including the gender of the CEO and whether the CEO has an overseas background, will have a significant impact on the company’s ability to innovate and the likelihood of corporate penalties. Therefore, this study selects …the two moderator variables of the chairman’s gender and whether the chairman has overseas study background. This study uses the To bit model and establishes three hypotheses to verify whether the company’s ability to innovate can significantly affect the number of times they are enforced, whether the chairman’s gender and whether the chairman’s overseas background will have a moderator effect on this relationship. The analysis results confirm these three assumptions. Show more

Keywords: Corporate fraud, innovation, board character

DOI: 10.3233/JIFS-189678

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8587-8599, 2021

Authors: Wang, Ying | Chen, Zhong

Article Type: Research Article

Abstract: Artificial Intelligence based Fuzzy Importance Performance Analysis Model (AFIPA)With the transformation of economic system, migrant workers transfer employment from underdeveloped areas to economically developed areas, and children’s reading has become one of the important things for migrant workers and families. With the increase of children in the immigration area year by year, the pressure on education in the immigration area has gradually increased, which has become one of the social problems to be solved by the government in the immigration area. The speed of school construction cannot keep up with the growth of children, and because it takes up a …lot of resources, funds and manpower, the government is not very enthusiasticin the immigration area. The stakeholders involved are always playing a game. How to achieve the best state is a difficult problem. After the central government’s policywereissuedabout solving the enrollment problem of migrant workers’children in school, local acceptance criteria for admitting migrant children to school were formulated. However, when lowering the admission threshold, all localities always look to other areas for fear of falling too low to become a basin of confluence, which cause an unbearable burden. In this paper fuzzy based analytic theory has been analysed Through the game analysis of various stakeholders, and taking Shengze Town, Jiangsu Province as an example, this paper puts forward some fuzzy policy suggestions, hoping to provide some new experience in promoting migrant children’s education in the future. Show more

Keywords: Education, migrant students, game, fairness, performance

DOI: 10.3233/JIFS-189679

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8601-8612, 2021

Authors: Li, Wenhua | Xiao, Jiaxin

Article Type: Research Article

Abstract: Computing and Artificial Intelligent technology has changed the ecosystem of advertising industry and social economy. Observations on social changes can help enterprises and advertisers better adapting to this pervasive computing age. This study aims to examine the lifestyles of the new urban middle class in emerging market and their attitudes towards advertising. We carried out an investigation in four Tier-1 cities in China and identified six comprehensive lifestyle factors: trendy and success-driven, “Western is best,” petty bourgeoisie lifestyle, money conscious, lifestyle of health and sustainability, and pragmatic struggling lifestyle; and further segmented new urban middle-class consumers into four groups: experiencers, …strivers, trendy achievers, and pragmatists. The attitudes of four lifestyle segments towards advertising have been examined. The study provides precise user portraits of the growing middle-class consumers and intra-class differences in the emerging market. Show more

Keywords: Advertising, lifestyle, consumer segmentation, middle class, emerging market

DOI: 10.3233/JIFS-189680

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8613-8622, 2021

Authors: Fong, Cher-Min | Shu, Ming-Hung | Chung, Chao-Cheng | Tsai, Tung-Lin | Sun, I-Sheng | Wang, Hui-Wen | Hsieh, Pei-Chun

Article Type: Research Article

Abstract: This study takes the product ethnicity perspective to investigate how monolingual Taiwanese consumers respond to products from developed countries when the consumer culture positioning (CCP) is global versus foreign versus local. Our experiment has a 2 (high vs. low fit of product ethnicity) × 3 (global vs. foreign vs. local ad appeal) design. Two mediating mechanisms are introduced to explain how ad fluency and brand information credibility impact ad effectiveness. These findings provide insights regarding the impact of a product’s country of origin and have implications for international marketing and advertising strategies.

Keywords: Ad credibility, brand information credibility, code-switching ad, international advertising, monolingual, Taiwan

DOI: 10.3233/JIFS-189681

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8623-8637, 2021