Journal of Intelligent & Fuzzy Systems - Volume 38, issue 6

Authors: Ma, Xujun | Yan, Xianguo | Guo, Yingxia

Article Type: Research Article

Abstract: In the background of high-quality development, production factors, productivity and total factor productivity all propose new high standards to enterprises. Research and development (R&D) design stage is the source and key to assure high quality of enterprise products. The quality-induced loss of products in R&D design stage is significantly higher than that in manufacturing stage. Made in China 2025 brings a new opportunity and a higher challenge to China’s machinery manufacturing industry through transforming from low cost competitive advantages to quality-benefit advantages. As the fundamental products of machinery manufacturing industry, mechanical processing products can prevent flaws fundamentally by improving quality …characteristics in R&D design stage, thus saving R&D cost effectively and improving product quality and reliability significantly. In this study, a robust design for quality characteristics of tap which is a typical representative of mechanical processing products was proposed. According to theoretical analysis of influencing factors of tap quality characteristics as well as the relevant quality fluctuation caused by influencing factors, its lifespan is the key quality characteristic in R&D design stage. As the key to determine tap lifetime, cryogenic temperature was chosen with soaking time by decision-making and trial evaluation laboratory as two of the most important factors that influence cryogenic treatment in the present study. A functional model between tape lifetime and these two selected factors were constructed through the response surface methodology. Optimized by multivariant optimization process memorise algorithm, the best parameter combination for cryogenic treatment was obtained. Research demonstrates that robust design of product quality characteristics helps enterprises to make product quality better and more quickly, lower operation cost, and improve productivity, thus promoting the high-quality development of enterprises. Show more

Keywords: Quality characteristics, robust design, mechanical processing products, tap lifetime, multivariant optimization process memorise algorithm

DOI: 10.3233/JIFS-179770

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6917-6926, 2020

Authors: Liu, Yuliang | Kang, Canhua | Yin, Zongyi

Article Type: Research Article

Abstract: Promotion of the emergency industry plays a major role in pacing up adjustment of industrial structure and enhancing economic vitality. Eleven influencing factors of the emergency industry were explored from economic, social and environmental aspects and the ISM (Interpretive Structure Modeling) model of the emergency industry was constructed by using basic methods of ISM. Results show that investment in emergency industry, input-output efficiency of emergency industry and application of technological innovation in emergency industry are the most direct factors affecting the development of emergency industry at present, while public safety consciousness is the most fundamental factor affecting emergency industry.

Keywords: Emergency industrial, influencing factors, index system, interaction mechanism, ISM

DOI: 10.3233/JIFS-179771

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6927-6935, 2020

Authors: Yuanqi, Zhang | Fang, Su

Article Type: Research Article

Abstract: With continuously accelerated development of China’s urbanization, the price of commercial housing is also rising and the housing problem has become a hot issue in China’s social development at current stage. The affordable housing, as a means to guarantee the housing rights of medium- and low-income groups, has seriously insufficient attractiveness to the returns on project investment due to its non-profit nature. The social capital is unwilling to enter this field and thus leads to inadequate supply of affordable housing. Therefore, it is very necessary to establish an investment compensation mechanism for affordable housing construction. Based on decision theory and …reasonable return principle, this study constructs an investment compensation model for construction of rental-type affordable housing based on satisficing decision. Finally, it uses the data of a public rental housing project in Beijing, China to conduct empirical analysis, quantifies all government subsidies and actually calculates the government compensation amount with the net present value of project as the decision goal. The results show that: (1) determining the reasonable profit rate of affordable housing developers is the key point to promote the investment and development of affordable housing; (2) investment compensation model for affordable housing construction based on satisficing decision can be used to objectively calculate the compensation amount payable to the affordable housing developer; (3) the private sector that invests in affordable housing should not passively wait for subsidies and preferential policies and measures of the government; instead, they should actively innovate in the profit model of affordable housing and promote the construction of affordable housing. The study shows that the investment compensation model for affordable housing based on decision function is good to judge the project feasibility. Compared with other models, it improves the model’s interpretation and prediction ability and provides new decision ideas and methods for the government and enterprises to develop and construct affordable housing. Show more

Keywords: Affordable housing, construction investment, decision function, net present value of project, compensation mechanism

DOI: 10.3233/JIFS-179772

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6937-6946, 2020

Authors: Shengxin, Fang | Aimin, Wang

Article Type: Research Article

Abstract: With the development of economic globalization, great importance has been attached to corporate social responsibility by firms, governments and social organizations. Currently, only a few domestic automobile enterprises can fully disclose their social responsibility information. Most automobile enterprises fail to establish an effective and comprehensive mechanism for social responsibility management and information disclosure, and the concept of social responsibility has not been popularized and widely accepted by automobile enterprises. In order to solve the problem of externalization of internal costs incurred from personal and property safety of consumers and environmental pollution control which should be borne by automobile enterprises, and …to promote the establishment and effective implementation of a social responsibility management system in the automobile industry, this study constructs a comprehensive China automobile CSR evaluation index system from four aspects, including CSR to government, CSR to employees, CSR to consumers and CSR to environment and community. In addition, this study makes a comprehensive comparison of the CSR of China’s automobile enterprises based on the synthetical evaluation method of Analytic Hierarchy Process and Grey Relation Analysis (AHP-GRA Model). The results show that: (1) under the influence of macro-economic control by the state, automobile enterprises, irrespective of being joint ventures, state-owned or private enterprises, hold the green development of firms in great account, especially corporate environmental governance; (2) the AHP-GRA Model can offer remedies to the single evaluation model, making up for its lack of accuracy and objectivity; (3) through a trend evaluation based on the AHP-GRA comprehensive evaluation model, a simple and reliable evaluation model is provided for the government, market and consumers to understand the current situation and future development of the CSR of China’s automobile enterprises in a comprehensive and objective way. The study shows that the AHP-GRA comprehensive evaluation model is feasible in the evaluation of social responsibilities of automobile enterprises, which covers the shortage of the single evaluation method, and provides new decision-making ideas and methods for the evaluation and optimization of social responsibility of automobile enterprises. Show more

Keywords: China, automobile enterprises, social responsibility, AHP-GRA model

DOI: 10.3233/JIFS-179773

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6947-6956, 2020

Authors: Zhang, Yu

Article Type: Research Article

Abstract: From the perspective of China’s food safety management practices, effective early warning and intervention of food safety risks in the food industry chain will greatly reduce the possibility of food safety accidents, thereby improving the safety and stability of people’s social life. This study builds a food safety risk intelligence early warning model based on support vector machines. First, it discusses the process of food safety risk intelligence early warning, classifies warning indicators of warning indicators, and sets the principles of early warning. Secondly, based on the theory of support vector machine technology, an intelligence early warning model for food …safety risks is constructed, and the collection and processing of sample data are explained. Finally, based on the analysis results of the early warning model, the results are discussed to verify the effectiveness and accuracy of the early warning model. Show more

Keywords: Support vector machine, food safety, risk, intelligence early warning

DOI: 10.3233/JIFS-179774

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6957-6969, 2020

Authors: Yunchao, Du | Ruikai, Huang

Article Type: Research Article

Abstract: The pharmaceutical industry is an important part of our national economy, which is the combination of traditional industry and modern industry. Medicine is an industry with high technology, high risk, high investment and high return, and has always been the focus of competition in developed countries. If Chinese pharmaceutical enterprises want to stand out in such fierce competition, they must find out the core competitiveness that fits their own development path. Based on the construction of the evaluation index system of the core competitiveness of the pharmaceutical industry, this study makes an empirical analysis of Hengrui pharmaceutical based on the …fuzzy comprehensive evaluation method, discusses the reasons for the formation of its core competitiveness, and puts forward effective ways for listed companies in the pharmaceutical industry to enhance their core competitiveness. Show more

Keywords: Core competitiveness, pharmaceutical listed companies, fuzzy comprehensive evaluation, Hengrui pharmaceutical

DOI: 10.3233/JIFS-179775

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6971-6978, 2020

Authors: Mingwei, Li | Lin, Li

Article Type: Research Article

Abstract: There has been rapid development of intelligent transportation systems around the world, helping to relieve urban traffic congestion problems. In particular, many mega-cities in China have devoted significant money and resources to the development of intelligent transportation systems. However, appropriate evaluation period of the application effectiveness of intelligent transportation systems for urban setting remains poorly defined partly due to the hysteretic nature of both the construction of infrastructure transportation and the application effect displayed. In this study, Beijing City was investigated to determine the appropriate evaluation period to evaluate the application effect of the intelligent transportation system. Then the vector …auto-regressive model is introduced to calculate the evaluation period of intelligent transportation system’s application effect. The results show a three-year lag length of the application effect in Beijing’s intelligent transportation system, which provides the rationale and reference methods to determine the appropriate evaluation period for similar projects. Finally, the importance and key criteria of determining the optimal evaluation period for intelligent transportation system are described. Show more

Keywords: Intelligent transportation system, optimal evaluation period, hysteresis effect, vector auto-regressive model, application performance

DOI: 10.3233/JIFS-179776

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6979-6990, 2020

Authors: Ge, Xue | Yang, Jiaqi | Wang, Haiyan | Shao, Wanqing

Article Type: Research Article

Abstract: Unconventional emergencies are difficult to be predicted and controlled. Emergency logistics supply chains (SCs) are exposed to great natural risks in operation and prone to encounter chain breakage. Based on a large number of literature analysis and practical research, this paper proposes 8 strategies and develops a Fuzzy-topsis (Technique for Order Preference by Similarity to an Ideal Solution) approach to enhance emergency logistics SC resilience. An empirical analysis is carried out among several Emergency Logistics Experts. The results show that the 3 strategies of “increasing the number of transport links”, “improving information monitoring and warning capabilities”, “improving the accuracy of …the plans” and “establishing a green passage” are most effective to enhance the resilience of the emergency logistics SC. Sensitivity analysis shows that the 8 strategies proposed play different roles in the contribution of SC resilience enhancing and can be applied in different situations. Show more

Keywords: Emergency logistics SCs, supply chain risks, supply chain resilience, fuzzy mathematics, TOPSIS

DOI: 10.3233/JIFS-179777

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6991-6999, 2020

Authors: Yunchao, Du | Luyi, Shi

Article Type: Research Article

Abstract: Mining is the important basic industry about economy, people’s livelihood and social development in our country. Its development degree will directly affect the level of industrial development in China. There are financing difficult problems in most mining companies which restrict its further development because of the imperfect capital market in China as well as the mining industry’s development level and high risk characteristic of environmental impact. Through the use of the combination of theoretical and empirical research methods, this study takes Zijin Mining as an example and analyzes its financing risk systematically, which based on the fuzzy comprehensive evaluation method …combined with the current financing situation of China’s mining industry. The purpose is to evaluate the financing risk effectively so as to help the management make more effective financing decisions. Show more

Keywords: Financing risk, mining enterprises, Zijin mining, fuzzy comprehensive evaluation

DOI: 10.3233/JIFS-179778

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7001-7007, 2020

Authors: Fengju, Xu | Lina, Ma | Iqbal, Najaf

Article Type: Research Article

Abstract: The promotion of sustainable innovation capability of the manufacturing industry is a strategic move to the mid-to-high end of the global value chain. We construct the evaluation index system of sustainable innovation capability based on the panel data of China’s manufacturing industry from 2000 to 2015. We analyze the interaction mechanism between sustainable innovation capability and capital stock by using the PVAR model. The results show that there is a long-term co-integration relationship between them, and both of them have the characteristic of self-inertia. The sustainable innovation capability has a positive impact on capital stock, while the capital stock has …a negative effect on sustainable innovation capability. The capital stock has a positive impact on sustainable innovation capacity in the low-tech and medium-tech industries, while it has a negative impact in the high-tech industry. Additionally, the capital stock has the least impact on sustainable innovation capacity in the low-tech industry, and sustainable innovation capacity has the greatest impact on capital stock in the medium-tech industry. Show more

Keywords: China’s manufacturing industry, sustainable innovation capability, capital stock, PVAR model, interaction mechanism

DOI: 10.3233/JIFS-179779

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7009-7025, 2020