• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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Methods of aggregating intuitionistic fuzzy information based
on ε-amended and their applications in decision making

YANG Yong,LIANG Chen-cheng   

  1. (College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China)
  • Received:2016-01-18 Revised:2016-04-12 Online:2017-09-25 Published:2017-09-25

Abstract:

When some existing intuitionistic fuzzy aggregation operators are used to aggregate certain special intuitionistic fuzzy values, the results are counter-intuitive. We first introduce two intuitionistic fuzzy aggregation operators and a method for comparing intuitionistic fuzzy values. Then some examples are given to illustrate the intuitionistic fuzzy aggregation operators which lead to some counter-intuitive results. We also propose new intuitionistic fuzzy aggregation operators based on ε-amended, and investigate the influence the values of ε on aggregating results. A decision making method based on ε-amended intuitionistic fuzzy aggregation operators is constructed. Finally, a practical example is given to compare the aggregating results that aggregated by the existing intuitionistic fuzzy aggregation operators and ε-a-mended intuitionistic fuzzy aggregation operators respectively, which proves that ε-amended intuitionistic fuzzy aggregation operators can amend counter-intuitive results. And ε-amended intuitionistic fuzzy aggregation operators can also extend the range of use of the existing intuitionistic fuzzy aggregation op-erators.
 

Key words: intuitionistic fuzzy set, aggregation operator, decision making, &epsilon, -amended