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

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