Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making

By Meimei Xia, Zeshui Xu, Na Chen. Group Decision and Negotiation, 2011

442 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a95557878ee480f5a43f6f912239c7faaef24622

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Zeshui Xu
2. Xiaolu Zhang
3. Guiwu Wei
4. Zhiming Zhang
5. Nian Zhang
6. Meimei Xia
7. Xindong Peng
8. Ronald R. Yager

In Management Science and Operations Research

1. Xiaolu Zhang
2. Zeshui Xu
3. Zhiming Zhang
4. Guiwu Wei
5. Xindong Peng
6. Peide Liu
7. Nian Zhang
8. Yong Yang

In Statistics and Probability

1. Xiaolu Zhang
2. Zeshui Xu
3. Guiwu Wei
4. Zhiming Zhang
5. Nian Zhang
6. Meimei Xia
7. Peide Liu
8. José M. Merigó

Citations in the corpus

• Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “Hesitant fuzzy set theory has been applied to several practical problems, primarily in the area of decision making [33,36,40,43,44,57,70].”
• Extension of VIKOR method for decision making problem based on hesitant fuzzy set (2013, background): “[26] developed several series of aggregation operators for hesitant fuzzy information with the aid of quasi-arithmetic means.”
• Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information (2013, background): “…0.5, 0.6} can describe the above situation more objectively than the interval-value fuzzy set [0.3, 0.6], because the degrees that the alternative should satisfy the criterion are not the convex combination of 0.3 and 0.6, or the interval between 0.3 and 0.6, but just three possible values [31].”