期刊
APPLIED SOFT COMPUTING
卷 38, 期 -, 页码 405-422出版社
ELSEVIER
DOI: 10.1016/j.asoc.2015.09.039
关键词
Group decision making; Intuitionistic fuzzy preference relations; Intuitionistic fuzzy linear programming; RFID technology selection
资金
- National Natural Science Foundation of China [71061006, 61263018, 11461030]
- Humanities Social Science Programming Project of Ministry of Education of China [09YGC630107]
- Natural Science Foundation of Jiangxi Province of China [20114BAB201012, 20142BAB201011]
- Twelve five Programming Project of Jiangxi Province Social Science [13GL17]
- Graduate Student Innovation Foundation of Jiangxi province [YC2015-8055]
- Young scientists Training object of Jiangxi Province [20151442040081]
- Excellent Young Academic Talent Support Program of Jiangxi University of Finance and Economics
A more scientific decision making process for radio frequency identification (RFID) technology selection is important to increase success rate of RFID technology application. RFID technology selection can be formulated as a kind of group decision making (GDM) problem with intuitionistic fuzzy preference relations (IFPRs). This paper develops a novel method for solving such problems. First, A technique for order preference by similarity to ideal solution (TOPSIS) based method is presented to rank intuitionistic fuzzy values (IFVs). To achieve higher group consensus as well as possible, we construct an intuitionistic fuzzy linear programming model to derive experts' weights. Depending on the construction of membership and non-membership functions, the constructed intuitionistic fuzzy linear programming model is solved by three kinds of approaches: optimistic approach, pessimistic approach and mixed approach. Then to derive the ranking order of alternatives from the collective IFPR, we extend quantifier guided non-dominance degree (QGNDD) and quantifier guided dominance degree (QGDD) to intuitionistic fuzzy environment. A new two-phase ranking approach is designed to generate the ordering of alternatives based on QGNDD and QGDD. Thereby, the corresponding method is proposed for the GDM problems with IFPRs. Some generalizations on the constructed intuitionistic fuzzy linear programming model are further discussed. At length, the validity of the proposed method is illustrated with a real-world RFID technology selection example. (C) 2015 Elsevier B.V. All rights reserved.
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