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Issue title: Special Section: Fuzzy theoretical model analysis for signal processing
Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin
Article type: Research Article
Authors: Guo, Xiaoyua | Zhou, Jinga; * | Wang, Xib
Affiliations: [a] School of Economics and Management, Shenyang Agricultural University, Shenyang, China | [b] Institute of Economics, Jilin Academy of Social Sciences, Changchun, China
Correspondence: [*] Corresponding author. Jing Zhou, School of Economics and Management, Shenyang Agricultural University, Shenyang, China. E-mail: LawrenceTNM@yahoo.com.
Abstract: The efficiency of the supply chain of pig breeding in China is low due to the structure of scattering raising-households and the competition among the enterprises within the supply chain is also fierce. Faced with the uncertainty of the market environment and the complexity of the decision-making environment, how to choose the competitive strategy and competition mode for pig breeding enterprises and determine the optimal sales price and sales volume is the key problem to be solved by enterprises in the supply chain management. Based on this, this paper constructs a model of competition between two manufacturers (large farmers) and two retailers (pork wholesalers) in the pig breeding industry under fuzzy environment. Under the three modes of Cournot competition, Collusion competition and Stackelberg competition, the competition model between two retailers is constructed in turn, and the optimal strategy of each manufacturer and retailer is obtained. Finally, the mental state index is introduced to describe the decision maker’s attitude or preference to the risk, which can make the model more reasonable. The result shows that the change of the mental state index will not only influence the optimal solution, but also affect the final decision result.
Keywords: Game theory, supply chain, Cournot competition, stackelberg competition, fuzzy number
DOI: 10.3233/JIFS-179312
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4771-4778, 2019
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