4.4 Article

An extended TODIM method for multiple attribute group decision making based on intuitionistic uncertain linguistic variables

期刊

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 29, 期 2, 页码 701-711

出版社

IOS PRESS
DOI: 10.3233/IFS-141441

关键词

TODIM method; intuitionistic uncertain linguistic information; multiple attribute group decision making; prospect theory

资金

  1. National Natural Science Foundation of China [71471172, 71271124]
  2. Humanities and Social Sciences Research Project of Ministry of Education of China [13YJC630104]
  3. Shandong Provincial Social Science Planning Project [13BGLJ10]
  4. Natural Science Foundation of Shandong Province [ZR2011FM036]
  5. Graduate education innovation projects in Shandong Province [SDYY12065]
  6. National Soft Science Project [2014GXQ4D192]

向作者/读者索取更多资源

The intuitionistic uncertain linguistic variables are the good tools to express the fuzzy information, and the TODIM (an acronym in Portuguese of Interactive and Multicriteria Decision Making) method can consider the bounded rationality of decision makers based on the prospect theory. However, the classical TODIM method can only process the multiple attribute decision making (MADM) problems where the attribute values take the form of crisp numbers. In this paper, we will extend the TODIM method to the multiple attribute group decision making (MAGDM) with intuitionistic uncertain linguistic information. Firstly, the definition, characteristics, expectation, comparison method and distance of intuitionistic uncertain linguistic variables are briefly introduced, and the steps of the classical TODIM method for MADM problems are presented. Then, on the basis of the classical TODIM method, the extended TODIM method is proposed to deal with MAGDM problems with intuitionistic uncertain linguistic variables, and its significant characteristic is that it can fully consider the decision makers' bounded rationality which is a real action in decision making. Finally, an illustrative example is proposed to verify the developed approach.

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