Abstract

Intuitionistic fuzzy set is a very useful tool to depict uncertainty. Lots of multi-criteria group decision making methods under intuitionistic fuzzy environment have been developed. Current methods are under the assumption that the criteria and the decision makers are at the same priority level. However, in real group decision making problems, criteria and decision makers have different priority level commonly. In this paper, multi-criteria group decision making problems where there exists a prioritization relationship over the criteria and decision makers are studied. First, the intuitionistic fuzzy prioritized weighted average (IFPWA) and the intuitionistic fuzzy prioritized weighted geometric (IFPWG) operators are proposed. Then, some of their desirable properties are investigated in detail. Furthermore, the procedure of multi-criteria group decision making based on the proposed operators is given under intuitionistic fuzzy environment. Finally, a practical example about talent introduction is provided to illustrate the developed method.

Highlights

  • IntroductionIn the second category it is assumed that there are interactions phenomena among the decision making criteria

  • Atanasov (1986) extended the concept of fuzzy sets which was proposed by Zadeh (1965), and introduced the intuitionistic fuzzy set (IFS)

  • In the second category it is assumed that there are interactions phenomena among the decision making criteria. To deal with this issue, Xu (2011a) extended the power average (Yager 2001) to intuitionistic fuzzy environment and introduced a series of operators for aggregating intuitionistic fuzzy values (IFVs) whose weighting vectors depend on the input arguments

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Summary

Introduction

In the second category it is assumed that there are interactions phenomena among the decision making criteria To deal with this issue, Xu (2011a) extended the power average (Yager 2001) to intuitionistic fuzzy environment and introduced a series of operators for aggregating intuitionistic fuzzy values (IFVs) whose weighting vectors depend on the input arguments. Consider the situation in which a woman is making a decision based on consideration of powdered milk cost and safety for her child She should not allow a benefit with respect to cost of powdered milk compensate for a loss in safety.

Basic concepts and operations
Intuitionistic fuzzy prioritized average operators
Practical example
Conclusions

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