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Group decision making process for RFID-based system selection using fuzzy TOPSIS approach
Author(s) -
Yahia Zare Mehrjerdi
Publication year - 2013
Publication title -
artificial intelligence research
Language(s) - English
Resource type - Journals
eISSN - 1927-6982
pISSN - 1927-6974
DOI - 10.5430/air.v2n3p1
Subject(s) - group decision making , topsis , selection (genetic algorithm) , computer science , process (computing) , group (periodic table) , fuzzy logic , operations research , data mining , artificial intelligence , mathematics , psychology , chemistry , operating system , social psychology , organic chemistry
The purpose of this article is twofold: first to introduce a multi attribute decision making model for radio frequency identification system consisting of four main criteria and five alternatives, and second to develop and solve the proposed fuzzy TOPSIS problem. Author presented an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for solving problems with a group of multi decision makers. The fuzzy sets concepts are used to evaluate the performance of alternatives and the importance of criteria. The TOPSIS model used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. TOPSIS technique can easily produce satisfactory results, and hence stimulates creativity and the invention for developing new methods and alternative approaches. This article is a very useful source of information both for radio frequency identification and multi attribute decision making using fuzzy TOPSIS methodology

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