The power average operator

By Ronald R. Yager. IEEE Trans. Syst. Man Cybern. Part A, 2001

759 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b2d9e9965f9d3a7c5446450e8c6c1d72a6cbd29e

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1. Zeshui Xu
2. Meimei Xia
3. Guiwu Wei
4. Zhiming Zhang
5. Peide Liu
6. Na Chen
7. Xindong Peng
8. Ronald R. Yager

Citations in the corpus

• Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “[59] Z.S. Xu, R.R. Yager, Power-geometric operators and their use in group decision making, IEEE Transactions on Fuzzy Systems 18 (2010) 94–105.”
• Power-Geometric Operators and Their Use in Group Decision Making (2010, methodology): “Based on the OWA and PA operators, Yager [23] defined a POWA operator as follows:”
• Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators (2011, methodology): “To overcome this drawback, motivated by the idea of power aggregation [26], in this paper, we develop a series of intuitionistic fuzzy aggregation operators, whose weighting vectors depend upon the input arguments and allow values being aggregated to support and reinforce each other, and study their”
• Pythagorean fuzzy power aggregation operators in multiple attribute decision making (2018, methodology): “To overcome this drawback, motivated by the idea of power aggregation, 44–47 in this paper, we develop a series of Pythagorean fuzzy aggregation operators, whose weighting vectors depend upon the input arguments and allow values being aggregated to support and reinforce each other, and study their…”
• Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making (2011, methodology): “Motivated by the power average (PA) operator (Yager 2001), we give one method to determine the weight vector of the proposed aggregation operators: Let where and Sup ( h i , h j ) is the support for h i from h j , with the conditions: (1) , where d is a distance measure.”