Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach
Authors
Keywords
Multi-granular unbalanced linguistic information, Consensus reaching process, Bounded confidence, Minimum adjustment
Journal
Information Fusion
Volume 74, Issue -, Pages 96-110
Publisher
Elsevier BV
Online
2021-04-19
DOI
10.1016/j.inffus.2021.04.006
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges
- (2020) Hengjie Zhang et al. Information Fusion
- Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information
- (2020) Hengjie Zhang et al. IISE Transactions
- Controlling the worst consistency index for hesitant fuzzy linguistic preference relations in consensus optimization models
- (2020) Xue Chen et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A joint feedback strategy for consensus in large-scale group decision making under social network
- (2020) Tiantian Gai et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Consensus reaching for social network group decision making by considering leadership and bounded confidence
- (2020) Zhen Zhang et al. KNOWLEDGE-BASED SYSTEMS
- A k-core decomposition-based opinion leaders identifying method and clustering-based consensus model for large-scale group decision making
- (2020) Pengqun Gao et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence
- (2020) Yuzhu Wu et al. Information Fusion
- Linguistic group decision making: Axiomatic distance and minimum cost consensus
- (2020) Yao Li et al. INFORMATION SCIENCES
- Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way
- (2020) Enrique Herrera-Viedma et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Minimum cost consensus modelling under various linear uncertain-constrained scenarios
- (2020) Zaiwu Gong et al. Information Fusion
- Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information
- (2020) Zhen Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An Optimal Feedback Model to Prevent Manipulation Behavior in Consensus Under Social Network Group Decision Making
- (2020) Jian Wu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A New 2-Tuple Linguistic Approach for Unbalanced Linguistic Term Sets
- (2020) Tanya Malhotra et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A Hybrid Group Decision Making Framework for Achieving Agreed Solutions based on Stable Opinions
- (2019) Qingxing Dong et al. INFORMATION SCIENCES
- Integrating a consensus-reaching mechanism with bounded confidences into failure mode and effect analysis under incomplete context
- (2019) Hengjie Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Local feedback mechanism based on consistency-derived for consensus building in group decision making with hesitant fuzzy linguistic preference relations
- (2019) Peng Wu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on Hamacher aggregation operators and andness optimization models
- (2019) Zhen-Song Chen et al. INFORMATION SCIENCES
- Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism
- (2019) Xia Liu et al. INFORMATION SCIENCES
- Group decision making using distances between unbalanced linguistic assessments
- (2018) Mei Cai et al. APPLIED SOFT COMPUTING
- A survey on the fusion process in opinion dynamics
- (2018) Yucheng Dong et al. Information Fusion
- Consensus reaching in social network group decision making: Research paradigms and challenges
- (2018) Yucheng Dong et al. KNOWLEDGE-BASED SYSTEMS
- Signed distance-based ORESTE for multicriteria group decision-making with multigranular unbalanced hesitant fuzzy linguistic information
- (2018) Zhang-peng Tian et al. EXPERT SYSTEMS
- Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making
- (2017) Zhen Zhang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making
- (2016) Zhen-Song Chen et al. INFORMATION SCIENCES
- Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information
- (2016) Yucheng Dong et al. INFORMATION SCIENCES
- An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making
- (2016) Rosa M. Rodríguez et al. International Journal of Computational Intelligence Systems
- An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making
- (2016) Rosa M. Rodríguez et al. International Journal of Computational Intelligence Systems
- An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level
- (2015) Yucheng Dong et al. INFORMATION SCIENCES
- On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends
- (2015) J.A. Morente-Molinera et al. KNOWLEDGE-BASED SYSTEMS
- Soft consensus measures in group decision making using unbalanced fuzzy linguistic information
- (2015) F. J. Cabrerizo et al. SOFT COMPUTING
- Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study
- (2014) Iván Palomares et al. Information Fusion
- A new linguistic computational model based on discrete fuzzy numbers for computing with words
- (2013) Sebastia Massanet et al. INFORMATION SCIENCES
- Consistency and consensus measures for linguistic preference relations based on distribution assessments
- (2012) Guiqing Zhang et al. Information Fusion
- Minimum-Cost Consensus Models Under Aggregation Operators
- (2011) Guiqing Zhang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- The OWA-based consensus operator under linguistic representation models using position indexes
- (2009) Yucheng Dong et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model
- (2009) Yucheng Dong et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A CONSENSUS MODEL FOR GROUP DECISION MAKING PROBLEMS WITH UNBALANCED FUZZY LINGUISTIC INFORMATION
- (2009) F. J. CABRERIZO et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information
- (2009) F.J. Cabrerizo et al. KNOWLEDGE-BASED SYSTEMS
- A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
- (2008) F. Herrera et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started