JOURNAL ARTICLE

Multiple Attribute Group Decision Making Problems Based on Fuzzy Number Intuitionistic Fuzzy Information

Jin Han ParkYoung-Chel KwunJong-Seo Park

Year: 2009 Journal:   Journal of Korean institute of intelligent systems Vol: 19 (2)Pages: 265-272   Publisher: Korean Institute of Intelligent Systems

Abstract

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

Keywords:
Fuzzy number Fuzzy set operations Fuzzy classification Mathematics Type-2 fuzzy sets and systems Defuzzification Fuzzy mathematics Operator (biology) Group decision-making Membership function Fuzzy logic Discrete mathematics Fuzzy set Artificial intelligence Algebra over a field Computer science Pure mathematics

Metrics

3
Cited By
1.16
FWCI (Field Weighted Citation Impact)
12
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Optimization and Mathematical Programming
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Systems and Optimization
Physical Sciences →  Mathematics →  Statistics and Probability

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