Ten lectures on wavelets
Fuzzy sets, fuzzy logic, and fuzzy systems
ACM Computing Surveys (CSUR)
Fuzzy sets and their application to clustering and training
Fuzzy sets and their application to clustering and training
An algebraic approach to linguistic hedges in Zadeh's fuzzy logic
Fuzzy Sets and Systems - Data bases and approximate reasoning
A Metasemantics to Refine Fuzzy If-Then Rules
ISMVL '04 Proceedings of the 34th International Symposium on Multiple-Valued Logic
Is there a need for fuzzy logic?
Information Sciences: an International Journal
International Journal of Intelligent Systems
A comprehensive theory of trichotomous evaluative linguistic expressions
Fuzzy Sets and Systems
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Multiresolution approximation using shifted splines
IEEE Transactions on Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rule Weight Specification in Fuzzy Rule-Based Classification Systems
IEEE Transactions on Fuzzy Systems
Complex Structured Decision Making Model: A hierarchical frame work for complex structured data
Information Sciences: an International Journal
Information Sciences: an International Journal
Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this work a theoretical hierarchical model of dichotomous linguistic variables is presented. The model incorporates certain features of the approximate reasoning approach and others of the Fuzzy Control approach to Fuzzy Linguistic Variables. It allows sharing of the same hierarchical structure between the syntactic definition of a linguistic variable and its semantic definition given by fuzzy sets. This fact makes it easier to build symbolic operations between linguistic terms with a better grounded semantic interpretation. Moreover, the family of fuzzy sets which gives the semantics of each linguistic term constitutes a multiresolution system, and thanks to that any fuzzy set can be represented in terms of the set of linguistic terms. The model can also be considered a general framework for building more interpretable fuzzy linguistic variables with a high capacity of accuracy, which could be used to build more interpretable Fuzzy Rule Based Systems (FRBS).