A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Fuzzy modelling through logic optimization
International Journal of Approximate Reasoning
A consensus-driven fuzzy clustering
Pattern Recognition Letters
Collaborative clustering with the use of Fuzzy C-Means and its quantification
Fuzzy Sets and Systems
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP
Information Sciences: an International Journal
Interpolating support information granules
Neurocomputing
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
A review on time series data mining
Engineering Applications of Artificial Intelligence
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computers and Industrial Engineering
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Shadowed sets: representing and processing fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Granular representation and granular computing with fuzzy sets
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
Short Communication: A new optimal consensus method with minimum cost in fuzzy group decision
Knowledge-Based Systems
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In various scenarios of fuzzy decision-making we encounter a collection of sources of knowledge - local models describing decision pursuits undertaken by individual decision-makers. These sources have to be agreed upon. The reconciliation mechanisms are present quite vividly in any collective pursuit including distributed modeling, time series characterization and classification. There is an interesting and practically pertinent task of reconciling decisions coming from the decision models and construct a decision of a holistic character. In this study, we introduce a concept of a granular fuzzy decision built on a basis of decisions formed by individual decision models. Here the term ''granular'' pertains to a wealth of possible realizations of such decision thus giving rise to fuzzy fuzzy (namely, fuzzy^2), interval-valued, probabilistic-fuzzy and rough-fuzzy representations of information granules. Information granularity plays a pivotal role in reconciling differences among existing decisions, quantifying their diversity and associating it with the overall fuzzy decision. We exploit a principle of justifiable granularity to develop and articulate a granular fuzzy decision of a holistic nature. Along with the passive way of forming the granular fuzzy decisions, we introduce an active form of design in which established is a feedback loop using which on a basis of the holistic view adjusted are the individual decisions. Detailed optimization schemes are discussed along with compelling examples of forming type-2 and type-3 fuzzy sets.