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Multiple attribute decision making using improved intuitionistic fuzzy weighted geometric operators of intuitionistic fuzzy values
- Source :
- Information Sciences. 535:242-253
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- In this paper, we develop a novel multiple attribute decision making (MADM) method using the improved intuitionistic fuzzy weighted geometric (IIFWG) operator of intuitionistic fuzzy values (IFVs) proposed in this paper. First, we develop the IIFWG operator of IFVs to conquer the weak points of the existing operators of IFVs, where they have the drawbacks that their aggregated values are indeterminate in some situations. Based on the proposed IIFWG operator of IFVs, we present a MADM method to overcome the weak points of the existing MADM methods, which have the shortcomings that they obtain unreasonable ranking orders (ROs) of alternatives or they cannot discriminate the ROs of alternatives in some circumstances.
- Subjects :
- Mathematical optimization
Information Systems and Management
Computer science
05 social sciences
050301 education
Intuitionistic fuzzy
02 engineering and technology
Computer Science Applications
Theoretical Computer Science
Operator (computer programming)
Ranking
Artificial Intelligence
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
0503 education
Software
Multiple attribute
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 535
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........c2d0dfb2f5e1f5645505c5ee1d771c60