Fuzzy Multiple Attributes Group Decision-Making Based on Ranking Interval Type-2 Fuzzy Sets and the TOPSIS Method
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Fuzzy Multiple Attributes Group Decision-Making Based on Ranking Interval Type-2 Fuzzy Sets and the TOPSIS Method
Authors
Keywords
-
Journal
IEEE Transactions on Systems Man Cybernetics-Systems
Volume 44, Issue 12, Pages 1665-1673
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2014-04-30
DOI
10.1109/tsmc.2014.2314724
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Extension of TOPSIS to determine weight of decision maker for group decision making problems with uncertain information
- (2012) Zhongliang Yue EXPERT SYSTEMS WITH APPLICATIONS
- Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems
- (2012) Ana Belen Cara et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Approach to group decision making based on determining the weights of experts by using projection method
- (2011) Zhongliang Yue APPLIED MATHEMATICAL MODELLING
- Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets
- (2011) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Connect Karnik-Mendel Algorithms to Root-Finding for Computing the Centroid of an Interval Type-2 Fuzzy Set
- (2011) Xinwang Liu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity
- (2011) Witold Pedrycz et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Autocratic Decision Making Using Group Recommendations Based on the ILLOWA Operator and Likelihood-Based Comparison Relations
- (2011) Shyi-Ming Chen et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- FIOWHM operator and its application to multiple attribute group decision making
- (2010) Gui-Wu Wei EXPERT SYSTEMS WITH APPLICATIONS
- Fuzzy multiple attributes group decision-making based on fuzzy induced OWA operators
- (2010) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fuzzy multiple attributes group decision-making based on fuzzy preference relations
- (2010) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Linguistic Summarization Using IF–THEN Rules and Interval Type-2 Fuzzy Sets
- (2010) Dongrui Wu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems
- (2010) Dongrui Wu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Fuzzy Multiple Criteria Hierarchical Group Decision-Making Based on Interval Type-2 Fuzzy Sets
- (2010) Shyi-Ming Chen et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- Selecting the advanced manufacturing technology using fuzzy multiple attributes group decision making with multiple fuzzy information
- (2009) Shian-Jong Chuu COMPUTERS & INDUSTRIAL ENGINEERING
- Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets
- (2009) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
- (2009) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- A flexible consensus scheme for multicriteria group decision making under linguistic assessments
- (2009) R.O. Parreiras et al. INFORMATION SCIENCES
- Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads
- (2008) Shyi-Ming Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
- (2008) Feilong Liu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started