Zeshui Xu
Researcher Next ID · RN-027079
Researcher · Decision Sciences
Beijing, China
- Works count
- 1,257
- Citation count
- 73,698
- H-index
- 134
- i10-index
- 750
Research interests
Publications
Probabilistic linguistic term sets in multi-attribute group decision making
Information Sciences · 2016 · https://doi.org/10.1016/j.ins.2016.06.021
A Historical Account of Types of Fuzzy Sets and Their Relationships
IEEE Transactions on Fuzzy Systems · 2015 · https://doi.org/10.1109/tfuzz.2015.2451692
Pythagorean fuzzy TODIM approach to multi-criteria decision making
Applied Soft Computing · 2015 · https://doi.org/10.1016/j.asoc.2015.12.020
Hesitant Fuzzy Sets: State of the Art and Future Directions
International Journal of Intelligent Systems · 2014 · https://doi.org/10.1002/int.21654
Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets
International Journal of Intelligent Systems · 2014 · https://doi.org/10.1002/int.21676
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making
Information Sciences · 2014 · https://doi.org/10.1016/j.ins.2014.02.125
Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information
Knowledge-Based Systems · 2013 · https://doi.org/10.1016/j.knosys.2013.05.011
Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations
IEEE Transactions on Fuzzy Systems · 2013 · https://doi.org/10.1109/tfuzz.2013.2245136
Intuitionistic Fuzzy Analytic Hierarchy Process
IEEE Transactions on Fuzzy Systems · 2013 · https://doi.org/10.1109/tfuzz.2013.2272585
Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis
Applied Mathematical Modelling · 2012 · https://doi.org/10.1016/j.apm.2012.04.031
Hesitant fuzzy geometric Bonferroni means
Information Sciences · 2012 · https://doi.org/10.1016/j.ins.2012.01.048
Dual Hesitant Fuzzy Sets
Journal of Applied Mathematics · 2012 · https://doi.org/10.1155/2012/879629
Interval-valued hesitant preference relations and their applications to group decision making
Knowledge-Based Systems · 2012 · https://doi.org/10.1016/j.knosys.2012.09.009
Distance and similarity measures for hesitant fuzzy sets
Information Sciences · 2011 · https://doi.org/10.1016/j.ins.2011.01.028
Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators
Knowledge-Based Systems · 2011 · https://doi.org/10.1016/j.knosys.2011.01.011
On distance and correlation measures of hesitant fuzzy information
International Journal of Intelligent Systems · 2011 · https://doi.org/10.1002/int.20474
Hesitant fuzzy information aggregation in decision making
International Journal of Approximate Reasoning · 2010 · https://doi.org/10.1016/j.ijar.2010.09.002
Generalized aggregation operators for intuitionistic fuzzy sets
International Journal of Intelligent Systems · 2009 · https://doi.org/10.1002/int.20386
Clustering algorithm for intuitionistic fuzzy sets
Information Sciences · 2008 · https://doi.org/10.1016/j.ins.2008.06.008
Dynamic intuitionistic fuzzy multi-attribute decision making
International Journal of Approximate Reasoning · 2007 · https://doi.org/10.1016/j.ijar.2007.08.008
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems · 2007 · https://doi.org/10.1109/tfuzz.2006.890678
Some geometric aggregation operators based on intuitionistic fuzzy sets
International Journal of General Systems · 2006 · https://doi.org/10.1080/03081070600574353
An overview of methods for determining OWA weights
International Journal of Intelligent Systems · 2005 · https://doi.org/10.1002/int.20097
Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment
Information Sciences · 2004 · https://doi.org/10.1016/j.ins.2004.02.003
Induced uncertain linguistic OWA operators applied to group decision making
Information Fusion · 2004 · https://doi.org/10.1016/j.inffus.2004.06.005
Current projects
No projects listed.