Multicriteria fuzzy decision-making problems based on vague set theory

By D. Hong, Chang-Hwan Choi. Fuzzy Sets Syst., 2000

1,031 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/56ae80a803611cea96c8ecc9f06816964dca9b57

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. Zeshui Xu
3. Weize Wang
4. Xinwang Liu
5. Ronald R. Yager
6. Xiao-hong Chen
7. Chunqiao Tan
8. Meimei Xia

In Management Science and Operations Research

1. Guiwu Wei
2. Zeshui Xu
3. Weize Wang
4. Xinwang Liu
5. Harish Garg
6. Peide Liu
7. Meimei Xia
8. Ronald R. Yager

In Statistics and Probability

1. Guiwu Wei
2. Zeshui Xu
3. Weize Wang
4. Xinwang Liu
5. Peide Liu
6. Ronald R. Yager
7. Meimei Xia
8. Harish Garg

Citations in the corpus

• Some geometric aggregation operators based on intuitionistic fuzzy sets (2006, methodology): “Hong and Choi (2000) showed that the relation between the score function S and the accuracy function H is similar to the relation between mean and variance in statistics.”
• An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights (2009, methodology): “For instance, attribute values have been relaxed to 94 be a range rather than an exact value [4, 6, 14, 18, 20, 22, 27-30, 33-35, 38], and 95 incomplete attribute weight information has also been extensively investigated from 96 different perspectives [18, 26, 36].”
• GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting (2010, methodology): “And then Hong and Choi [7] provided another technique for handling multiple attribute fuzzy decision-making problems based on vague set theory, they provided new functions to measure the degree of accuracy in the grades of membership of each alternative with respect to a set of attribute.”
• Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets (2007, methodology): “And then Dug Hun Hong and Chang-Hwan Choi [6] provided another techniques for handling multicriteria fuzzy decision-making problems based on vague set theory, they provided new functions to measure the degree of”
• A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, neutral): “Hong and Choi [113], used the maximum and”
• Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making (2010, methodology): “Based on vague sets, Chen and Tan (1994), Hong and Choi (2000) utilized the minimum and maximum operations and different measure functions to develop some approximate technique for handling multi-attribute decision making problems under fuzzy environment.”
• Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators (2011, background): “Later, Hong and Choi [7] defined the accuracy function ha to evaluate the accuracy degree of a: sa 1⁄4 la va ð5Þ ha 1⁄4 la þ va ð6Þ Based on the score function and the accuracy function, Xu and Yager [21], Xu [14] gave an order relation between any two IFNs: Definition 2 ([14,21]).”
• Vague groups (2005, neutral): “A Vague set (VS) [1-5] uses a truth grade of membership and a false grade of membership to indicate the positive evidence and the negative evidence respectively.”
• Intuitionistic Fuzzy Aggregation Operators (2007, methodology): “Later, Hong and Choi [26] defined an accuracy function to evaluate the degree of accuracy of the intuitionistic fuzzy value as (5) where .”
• Intuitionistic Fuzzy Information Aggregation Using Einstein Operations (2012, methodology): “[34] D. H. Hong and C. H. Choi, “Multicriteria fuzzy decision-making problems based on vague set theory,” Fuzzy Sets Syst., vol. 114, no. 1, pp. 103– 113, 2000.”
• Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, neutral): “The aggregation techniques have a great effect on the MCDM problems, and the aggregation operators have been broadly applied to MCDM.”
• Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP) (2009, methodology): “There are some reported applications of IFS in MCDM, e.g., Liu and Wang (2006), Li (2005), Atanassov et al. (2002), and Hong and Choi (2000).”