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Issue title: Special Section: Best papers of the 2016 International Conference on Management and Operations Research - ICMOR 2016
Guest editors: Xiaoxia Huang, Qun Zhang and Qing Yang
Article type: Research Article
Authors: Gupta, Pankaja; * | Mehlawat, Mukesh Kumara | Grover, Nishthaa | Chen, Weib
Affiliations: [a] Department of Operational Research, University of Delhi, Delhi, India | [b] School of Information, Capital University of Economics and Business, Beijing, China
Correspondence: [*] Corresponding author. Pankaj Gupta, Department of Operational Research, University of Delhi, Delhi, India. Tel./Fax: +91 11 27666672; E-mail: pgupta@or.du.ac.in.
Abstract: In this paper, we propose a modified fuzzy intuitionistic multiple attribute decision (MAD) method retaining basic framework of the superiority and inferiority ranking (SIR) method. We utilize relative comparisons based on the advantage and disadvantage scores of intuitionistic fuzzy (IF) numbers so that the modified SIR method is better adapted to treat real-world MAD problems. The relative comparisons of the IF values use all the three parameters, namely membership degree (“more the better”), non-membership degree (“less the better”), and hesitancy degree (“less the better”) leading to trade-off values of the parameters. The modified IF-SIR flows, namely IF-superiority and IF-inferiority flows are calculated using the advantage and disadvantage score matrices, respectively, derived from the relative comparisons. These score matrices are based on positive contributions of all three parameters of the IF values, wherever applicable. The ranking of the alternatives is done using a consolidated score function derived from the modified IF-SIR flows. The methodology is validated through an application of a real-case of supplier selection problem.
Keywords: Multiple attribute decision making, intuitionistic fuzzy numbers, SIR method, supplier selection
DOI: 10.3233/JIFS-169209
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 6, pp. 4431-4441, 2017
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