Multi-criteria decision-making methods based on intuitionistic fuzzy sets

By Huawen Liu, Guo-Jun Wang. European Journal of Operational Research, 2007

686 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/45cc4947bc268e4e996d083cffe03e5dce75d74e

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. Guiwu Wei
2. Xindong Peng
3. Zeshui Xu
4. Yong Yang
5. Weize Wang
6. José M. Merigó
7. Ronald R. Yager
8. Meimei Xia

In Management Science and Operations Research

1. Xindong Peng
2. Guiwu Wei
3. Yong Yang
4. Zeshui Xu
5. Harish Garg
6. Weize Wang
7. José M. Merigó
8. Meimei Xia

In Statistics and Probability

1. Xindong Peng
2. Guiwu Wei
3. Zeshui Xu
4. Yong Yang
5. Weize Wang
6. José M. Merigó
7. Meimei Xia
8. Ronald R. Yager

Citations in the corpus

• Dynamic intuitionistic fuzzy multi-attribute decision making (2008, background): “[13] H.W. Liu, G.J. Wang, Multi-criteria decision-making methods based on intuitionistic fuzzy sets, European Journal of Operational Research 179 (2007) 220–233.”
• Methods for strategic decision-making problems with immediate probabilities in intuitionistic fuzzy setting (2012, background): “The intuitionistic fuzzy set has receivedmore and more attention since its appearance [4–18].”
• Distance and similarity measures for hesitant fuzzy sets (2011, neutral): “[19,21,22].”
• Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, methodology): “As for the present, IFSs have been widely applied in solving multicriteria decision making problems [10–14], neural networks [15, 16], medical diagnosis [17], color region extraction [18, 19], market prediction [20], and so forth.”
• Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, methodology): “H.-W. Liu and Wang (2007), proposed new series of score functions to be applied to the MCDM problems in accordance with the evaluation functions and the intuitionistic fuzzy point operators.”
• Intuitionistic Fuzzy Information Measures with Application in Rating of Township Development (2016, methodology): “MCDM problems based on IFS utilizing information measure weights and linear programming were given by [15, 25, 26, 28, 48].”
• Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making (2011, background): “…& Kerre, 2007; Gau et al., 1993; Grzegorzewski, 2004; Hong & Choi, 2000; Li, 2004; Li, 2005, 2008; Li & Cheng, 2002; Lin, Yuan, & Xia, 2007; Liu, 2007; Li, Wang, Liu, & Shan, 2009; Szmidt & Kacprzyk, 1996a, 1996b, 1996c, 1997, 2000, 2001a, 2001b, 2002, 2003; Tan & Chen, 2010; Wang, 2009;…”
• Fundamental Properties of Interval‐Valued Pythagorean Fuzzy Aggregation Operators (2016, background): “The maximizing deviation method was proposed by Wang 29 to determine the attribute weights for solving MADM problems with numerical information.”
• A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, background): “Based on the interval-valued IFSs, Chen, Wang and Lu [117] offered a method of MCGDM.”
• Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method (2014, methodology): “Liu andWang [13] presented novelmethods for solvingMCDMproblem in an intuitionistic fuzzy environment.”
• An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights (2009, background): “Liu and Wang [22] extend this research by first introducing an evaluation function based on t -norm and t -conorm and, then defining an intuitionistic fuzzy point operator and developing several new score functions based on the evaluation function and point operator.”
• Extension of VIKOR method for decision making problem based on hesitant fuzzy set (2013, neutral): “[28–30].”
• Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain (2015, background): “The main advantages of IFSs are as follows: (Liu & Wang, 2007; Xu & Liao, 2013; Xu & Liao, in press) IFSs provide us the ability to model unknown information using another degree called the degree of hesitation.”