4.7 Article

Some intuitionistic uncertain linguistic Heronian mean operators and their application to group decision making

期刊

APPLIED MATHEMATICS AND COMPUTATION
卷 230, 期 -, 页码 570-586

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2013.12.133

关键词

Intuitionistic fuzzy set; The intuitionistic uncertain linguistic variables; Multiple attribute group decision making; Heronian mean; Arithmetic Heronian mean; Geometric Heronian mean; Weight

资金

  1. National Natural Science Foundation of China [71271124]
  2. Humanities and Social Sciences Research Project of Ministry of Education of China [13YJC630104, 09YJA630088]
  3. Natural Science Foundation of Shandong Province [ZR2011FM036]
  4. Shandong Provincial Social Science Planning Project [13BGLJ10]
  5. Graduate education innovation projects in Shandong Province [SDYY12065]

向作者/读者索取更多资源

With respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of crisp numbers, and attribute values take the form of intuitionistic uncertain linguistic variables, some new intuitionistic uncertain linguistic Heronian mean operators, such as intuitionistic uncertain linguistic arithmetic Heronian mean (IULAHM) operator, intuitionistic uncertain linguistic weighted arithmetic Heronian mean (IULWAHM) operator, intuitionistic uncertain linguistic geometric Heronian mean (IULGHM) operator, and intuitionistic uncertain linguistic weighted geometric Heronian mean (IULWGHM) operator, are proposed. Furthermore, we have studied some desired properties of these operators and discussed some special cases with respect to the different parameter values in these operators. Moreover, with respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take the form of intuitionistic uncertain linguistic variables, some approaches based on the developed operators are proposed. Finally, an illustrative example has been given to show the steps of the developed methods and to discuss the influences of different parameters on the decision-making results. (C) 2014 Elsevier Inc. All rights reserved.

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