1. Methods of aggregating intuitionistic fuzzy information based on ε-amended and their applications in decision making.
- Author
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YANG Yong and LIANG Chen-cheng
- 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 e 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-amended 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 operators. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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