Hesitant fuzzy geometric Bonferroni means

By Bin Zhu, Zeshui Xu, Meimei Xia. Information Sciences, 2012

474 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/fd3061e75b381817cb1f80bc6feafb1e4558f6de

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. Huchang Liao
2. Edmundas Kazimieras Zavadskas
3. Abbas Mardani
4. Xiao-Jun Zeng
5. Zhiming Zhang
6. Zeshui Xu
7. Ahmad Jusoh
8. Norhayati Zakuan

In Management Science and Operations Research

1. Huchang Liao
2. Xiao-Jun Zeng
3. Abbas Mardani
4. Zeshui Xu
5. Zhiming Zhang
6. Bahram Farhadinia
7. Edmundas Kazimieras Zavadskas
8. Ahmad Jusoh

In Statistics and Probability

1. Bahram Farhadinia
2. Xiao-Jun Zeng
3. Huchang Liao
4. Zhiming Zhang
5. Zeshui Xu
6. Edmundas Kazimieras Zavadskas
7. Ahmad Jusoh
8. Abbas Mardani

Citations in the corpus

• Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, background): “Zhu, Xu, and Xia (2012), investigated the geometric BMs combined with hesitant fuzzy information and introduced the hesitant fuzzy geometric BMs (HFGBM).”
• Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis (2013, unknown): “[32–35].”
• Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, unknown): “47 and 48.”
• Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets (2013, background): “HFSs can be applied in many decision making problems (see [25,29,44]).”
• Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014, background): “Hesitant fuzzy sets (HFSs), which were first introduced by Torra [30] as an extended form of fuzzy sets, have attracted a lot of attention recently due to their effectiveness and efficiency in representing uncertainty and vagueness [13–16,18,30,46,52].”
• 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].”
• A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, background): “Zhu, Xu and Xia [110], investigated the geometric BMs combined with hesitant fuzzy information and introduced the hesitant fuzzy geometric Bonferroni means (HFGBM).”