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

Authors: Gang, Song | Xiaoming, Wang | Junfeng, Wu | Shufang, Li | Zhuowen, Liu | Wang, Xiaodong

Article Type: Research Article

Abstract: In view of the production quality management of filter rods in the manufacturing and execution process of cigarette enterprises, this paper analyzes the necessity of implementing the manufacturing execution system (MES) in the production process of filter rods. In this paper, the filter rod quality system of cigarette enterprise based on MES is fully studied, and the constructive information management system demand analysis, cigarette quality control process, system function module design, implementation and test effect are given. This paper utilizes the Fuzzy analytic hierarchy process to find the optimal system for processing the manufacturing of cigarette. The implementation of MSE …based filter rod quality information management system for a cigarette enterprise ensures the quality control in the cigarette production process. Through visualization, real-time and dynamic way, the information management of cigarette production is completed, which greatly improves the quality of cigarette enterprise manufacturing process. Show more

Keywords: AI, cigarette, filter rod, quality management, information management system, Fuzzy

DOI: 10.3233/JIFS-189648

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8257-8267, 2021

Authors: Tan, Chengfang | Cui, Lin | Wu, Xiaoyin

Article Type: Research Article

Abstract: With the rapid development of mobile terminal devices, mobile user activities can be carried out anytime and anywhere through various mobile terminals. The current research on mobile communication network is mainly focused on extracting useful and interesting information for mobile user from massive and disordered information. However, the sparsity of scoring data matrix results in low quality of recommendation algorithm. In order to overcome this drawback, the traditional collaborative filtering algorithm is improved. First, the user-interest matrix and item-feature matrix were obtained by analyzing mobile user behavior and item attributes. Fuzzy trust based model is utilized for collaborative filtering analysis …for mobile user preferences. Then, the similarity between different mobile users was calculated by weighted calculation. With this method, mobile user preference can be predicted effectively, making it possible to recommend rational resource and waste less time in extracting resources out of the massive information. Experimental results show that the proposed algorithm reduces the mean absolute error (MAE) and the impact of sparse scoring matrix data compared with the traditional collaborative filtering algorithm, and improves the recommendation effect to a certain extent. Show more

Keywords: Collaborative filtering, AI, mobile user, user interest, similarity calculation, fuzzy trust

DOI: 10.3233/JIFS-189649

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8269-8275, 2021

Authors: Wang, Qian | Zhang, Bo

Article Type: Research Article

Abstract: Hotel industry, as the pillar industry of the tertiary industry, is developing at a rapid pace under the background of rapid economic growth and strong support for the tourism industry. At the same time, it also faces fierce competition at home and abroad. In the information age, more and more hotels choose informationalized management, in order to reflect the competitive advantage of the enterprise with better services, higher efficiency and lower costs. The current hotel management system has been widely used in all aspects of hotel management, integrating reception, backstage financial processing and material procurement functions in one, which basically …meets the needs of the daily management of the hotel. With the advancement of the hotel information process, hotel business data also shows explosive growth. However, these data have not been effectively developed and used. This research proposes Fuzzy based Analytic Hierarchical Process (FAHP), which is utilized for considering user perception to access the making of decision. The business data processing of the management of hotels is limited to simple collection, storage, and statistics. The information obtained is superficial and regular, which cannot meet the current “customer-centered” marketing strategy of the hotel. This topic is based on the conventional hotel management system, using data mining technology to extract useful information from the existing hotel business data to establish customer segmentation model and support the decision layer to analyze the data from multi-angle and multi-level around the decision-making topic, so as to truly realize the “customer-centered” concept, improve hotel service level and improve the core competitiveness of enterprises. Show more

Keywords: Data mining, CRM, hotel management system, customer, AI, fuzzy based analytic hierarchical process (FAHP)

DOI: 10.3233/JIFS-189650

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8277-8285, 2021

Authors: Lifang, Guo | Yuwen, Cui | Yamin, Wu | Jiaqi, Ma

Article Type: Research Article

Abstract: The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive …shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance. Show more

Keywords: Artificial Intelligence (AI), relation embeddedness, shared mental model, innovation performance, structure equations, fuzzy rule

DOI: 10.3233/JIFS-189651

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8287-8294, 2021

Authors: Lan, Chongfeng

Article Type: Research Article

Abstract: Considering the ubiquity of consumer balking behavior (CBB) in real-life economics and the importance of product quality control (QC) to supply chain (SC) competitiveness, this paper explores the SC coordination under both the QC and the CBB. Specifically, the consumer’s loss aversion behavior was illustrated at a fixed balking probability, and the SC models were created for centralized and decentralized decision-making modes. After that, the optimal strategies for the retailer and the manufacturer were identified, and the comparative static analysis was adopted to explore the effects of the CBB and QC on the optimal decision-making of the SC. The research …results show that the QC-based SC under the CBB cannot be coordinated by wholesale price contract alone, but can be coordinated perfectly by this contract when the retailer shares the quality effort and the manufacturer shares the oversupply cost and analyzed through the fuzzy environment with the formulation. This finding sheds new light on the theory and application of wholesale price contract in SC coordination. Finally, the parameter sensitivity analysis was performed on balking probability and product qualification rate (PQR) through numerical experiments, which further discloses the impacts of the CBB and product QC on the optimal decision-making and profit of the SC. Show more

Keywords: Quality control (QC), fuzzy formulation, consumer balking behavior (CBB), supply chain (SC), cost sharing, coordination

DOI: 10.3233/JIFS-189652

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8295-8305, 2021

Authors: Jia, Yufang

Article Type: Research Article

Abstract: China’s tourism industry has made remarkable achievements since reframing and beginning, but the imbalanced expansion of regional tourism has become increasingly severe. This paper involves the analysis of combining index analysis and factor analysis and employs SPSS software to make a quantitative analysis on the differences and the contributory factors of the tourism economy in Yangtze River Delta in China from 2006 to 2016. The results have demonstrated that there exists an imbalance in the development of tourism economy in the Yangtze River Delta, and that there is a significant spatial difference with a yearly trend of decrease. Besides, a …major gap lies among the comprehensive development level of tourism economy of the cities in the Yangtze River Delta. In this paper, Fuzzy analytic hierarchy process is used for making decision based analysis process for tourism economy. The comprehensive development level of tourism economy in Shanghai, Suzhou and Nanjing is much higher than that in other cities. Tourism resources endowment, tourism reception facilities and the development level of regional economy are important contributory factors of the regional differences of economy based on tourism in river delta of Yangtze, and there exists an extremely obvious positive correlation. Show more

Keywords: Tourism economy, Yangtze River Delta Region, Regional differences, Contributory factors, Fuzzy

DOI: 10.3233/JIFS-189653

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8307-8315, 2021

Authors: Chen, Shu | Xiang, Lei | Jin, Lianghai

Article Type: Research Article

Abstract: Public-Private Partnership (PPP) has been adopted extensively in public infrastructures in China. Numerous studies have explored development patterns for future PPP projects success based on either literature review or case studies. This paper aims to probe into the spatiotemporal dynamics of China’s PPP and clarify regional differentiation by frequency analysis, coefficient of variation and cluster analysis. The result shows that the implementation rate has a slight increase along with time series although PPP projects gradually return to rational development. The fuzzy set is utilized to handle with ambiguity in some linguistic risk allocation criteria to lower the fuzziness and bias …in knowledge expert which is qualitative that handles real time decision making. The municipal sector has been occupied the largest share of PPP projects while state-owned enterprises still dominate the biggest PPP marketed components. Local governments prefer viability gap subsidies although central government encourages user payment. Spatial difference coefficient is so high reflecting obvious regional differentiation of provincial PPP development. Recommendations are ultimately put forward to enhance China’s future PPP promotion, which will provide a valuable direction for government to make PPP customized policies. Show more

Keywords: Public-private partnership, development characteristics, regional differentiation, statistical analysis, China, fuzzy set

DOI: 10.3233/JIFS-189654

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8317-8331, 2021

Authors: Xu, Xinpeng | Li, Xun | Gao, Fuxia

Article Type: Research Article

Abstract: The “Belt and Road” initiative (BRI) enhances the cooperation between China and countries in Central and Eastern Europe (CEE), and expands the scale of China-invested enterprises in CEE countries continuously. But it also results in the increase in investment risks. Meanwhile, large differences between the international labor market and the domestic employment environment have led to the inadaptability of some enterprises’ overseas employment policies, triggering many labor disputes, and producing adverse effects on their overseas business expansion. To resolve the problems, this paper attempts to study the measures to prevent labor employment risks using fuzzy inference system for China-invested enterprises …in CEE. For this, it performs analysis for the scale, structure, labor quality, wages and benefits, and labor law system of labor employment in CEE countries, and proposes to prevent and resolve the labor employment risks by strengthening government labor cooperation, familiarizing with local labor law systems, and respecting local management culture etc. Show more

Keywords: Belt and road initiative, investment, Central and Eastern Europe, labor employment risk, prevention, fuzzy Inference system

DOI: 10.3233/JIFS-189655

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8333-8344, 2021

Authors: Yan, Chunxiao | Huang, Ziyue

Article Type: Research Article

Abstract: This paper relates the illustration of policy related to monetary announcement on various international commodity price and explore the similarities and differences of the effect in QE1, QE2, QE3, exit stage and interest hike stage through event study method and the whole sample VAR model and rolling sample VAR model. Results show that: (1) the implementation of unconventional monetary policy has a significant positive effect on the international commodity market, while the exit plan and the interest rate increase policy have some negative effects on the commodity markets, but the effects are not significant. (2) In terms of the VAR …whole samples, it can be seen that unconventional policies of monetary simulated by reserve of federal have an importance in impact on international commodity prices. This paper developed a approach of fuzzy binomial that can be utilized in various projects using commodity prices using uncertainty. In terms of the analysis of the rolling samples, the cumulative effect on commodity prices during QE1 and QE2 are stronger than that of QE3, exit stage and interest rate hike stage in general. Show more

Keywords: Monetary policy, commodity price, event study, VAR model, fuzzy binomial

DOI: 10.3233/JIFS-189656

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8345-8357, 2021

Authors: Lin, Chuan | Chen, Yinzhong | Liao, Jing | Liu, Dongxuan

Article Type: Research Article

Abstract: Stimulated by the “Belt and Road” Initiative (BRI), Chinese enterprises are participating in the markets of Central and Eastern European Countries (CEECs). With the Chinese local SOEs from 2007 to 2017 as samples, this paper empirically verified the impact of the introduction of foreign-invested shares (foreign shares for short) on the international competitiveness of these enterprises, as well as the mediation effect of the BRI strategy. In this paper, we propose neuro -fuzzy network based correlation analysis and empirical analysis found that there’s a significant positive correlation between the introduction of foreign shares and the international competitiveness of Chinese local …SOEs, that is, compared with local SOEs without foreign shares, those with foreign shares enjoy stronger international competitiveness when participating in the Central and Eastern European market; after the mediation effect of BRI has been taken into consideration, the introduction of foreign shares further strengthened the positive impact on the international competitiveness of these enterprises. This is because the BRI has significantly promoted the participation of Chinese SOEs in the Central and Eastern European market. Show more

Keywords: International competitiveness, Foreign-invested shares (foreign shares), “Belt and Road” initiative (BRI), Central and Eastern European Countries (CEECs), SOEs (SOEs)

DOI: 10.3233/JIFS-189657

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8359-8369, 2021