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Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Article type: Research Article
Authors: Li, Ning | Feng, Junwen; *
Affiliations: School of Economics & Management, Nanjing University of Science and Technology, Nanjing, China
Correspondence: [*] Corresponding author. Li Ning, Feng Junwen, School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China. E-mail: lining19791016@163.com.
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.
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
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8417-8425, 2021
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