Journal ArticleDOI
A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts
TLDR
An information granulation of the linguistic information used in group decision making problems defined in heterogeneous contexts, i.e., where the experts have associated importance degrees reflecting their ability to handle the problem.About:
This article is published in European Journal of Operational Research.The article was published on 2013-11-01. It has received 241 citations till now. The article focuses on the topics: Group decision-making & Granular computing.read more
Citations
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Journal ArticleDOI
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
TL;DR: This survey presented a comprehensive investigation of PSO, including its modifications, extensions, and applications to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology.
Journal ArticleDOI
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
Jian Wu,Lifang Dai,Francisco Chiclana,Hamido Fujita,Enrique Herrera-Viedma,Enrique Herrera-Viedma +5 more
TL;DR: A novel feedback mechanism is activated to generate recommendation advices for the inconsistent users to increase the group consensus degree, and its novelty is that it produces the boundary feedback parameter based on the minimum adjustment cost optimisation model.
Journal ArticleDOI
A Group Decision Making Model for Integrating Heterogeneous Information
Guangxu Li,Gang Kou,Yi Peng +2 more
TL;DR: The results illustrate that the proposed GDM method cannot only avoid information loss, but also effectively integrate heterogeneous information in heterogeneous GDM environment.
Journal ArticleDOI
Consistency-Driven Automatic Methodology to Set Interval Numerical Scales of 2-Tuple Linguistic Term Sets and Its Use in the Linguistic GDM With Preference Relation
TL;DR: A consistency-driven automatic methodology to set interval numerical scales of 2-tuple linguistic term sets in the decision making problems with linguistic preference relations is proposed and interval multiplicative preference relations are used in the pairwise comparisons method.
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On multi-granular fuzzy linguistic modeling in group decision making problems: a systematic review and future trends
TL;DR: The aim of this research is to provide insights about the evolution of multi-granular fuzzy linguistic modeling approaches during the last years and discuss their drawbacks and advantages and some possible approaches that could improve the current multi- granular linguistic methodologies.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
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The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
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A 2-tuple fuzzy linguistic representation model for computing with words
Francisco Herrera,Luis Martínez +1 more
TL;DR: This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.