Advances and challenges in interval-valued fuzzy logic

Chris Cornelis; Glad Deschrijver; Etienne E. Kerre

doi:10.1016/j.fss.2005.10.007

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Advances and challenges in interval-valued fuzzy logic

Chris Cornelis Glad Deschrijver Etienne E. Kerre

Year: 2005 Journal: Fuzzy Sets and Systems Vol: 157 (5)Pages: 622-627 Publisher: Elsevier BV

DOI: 10.1016/j.fss.2005.10.007

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Keywords:

Vagueness Unit interval Fuzzy logic Mathematics Fuzzy set T-norm fuzzy logics Type-2 fuzzy sets and systems Completeness (order theory) Algebraic structure Interval (graph theory) Algebra over a field Fuzzy number Algebraic number Discrete mathematics Theoretical computer science Computer science Artificial intelligence Pure mathematics

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Advanced Algebra and Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Multi-Criteria Decision Making

Social Sciences → Decision Sciences → Management Science and Operations Research

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advances and challenges in interval-valued fuzzy logic

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