Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Similarity measure between fuzzy sets and between elements
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
Information Sciences: an International Journal
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Assessing false consensus effect in a consensus enhancing procedure
International Journal of Intelligent Systems - Decision Making in Social Networks
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
Distance and similarity measures for hesitant fuzzy sets
Information Sciences: an International Journal
Fuzzy data treated as functional data: A one-way ANOVA test approach
Computational Statistics & Data Analysis
Information Sciences: an International Journal
A Relevance-Based Learning Model of Fuzzy Similarity Measures
IEEE Transactions on Fuzzy Systems
Hesitant Fuzzy Linguistic Term Sets for Decision Making
IEEE Transactions on Fuzzy Systems
An attitude-driven web consensus support system for heterogeneous group decision making
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A linguistic consensus model for Web 2.0 communities
Applied Soft Computing
Group decision making model and approach based on interval preference orderings
Computers and Industrial Engineering
New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets
Information Sciences: an International Journal
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In this paper, we propose a method to identify groups of similarly shaped membership functions representing criterion preferences provided by a large group of experts in the context of group decision-making. Our hypothesis hereby is that similarly shaped membership functions reflect similar expert opinions. The proposed method uses a symbolic notation to depict each membership function taking into account its shape characteristics (i.e., slopes and preference levels) and the relative length approximations on its X-axis segments (i.e., core segments, left and right spreads). The symbolic notation significantly reduces the complexity to handle a large group of expert opinions expressed by membership functions, and facilitates their comparison for grouping purposes through a shape-similarity measure. The main goal of the method is to detect all membership functions that are relevant to represent trends or suitable concepts among a large group of people considered as experts. An illustrative example, demonstrating the applicability of the method, is included in the paper.