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2018 | Supplement | Buchkapitel

Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers

verfasst von : Nhung Cao, Martin Štěpnička

Erschienen in: Advances in Fuzzy Logic and Technology 2017

Verlag: Springer International Publishing

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Abstract

The concepts of incorporation of excluding features in fuzzy relational compositions and the compositions based on generalized quantifiers are useful tools for improving relevance and precision of the suspicion provided by the standard fuzzy relational compositions initial studied by Willis Bandler and Ladislav Kohout. They are independently extended from the standard compositions. However, it may become a very effective tool if they are used together. Taking this natural motivation leads us to introduce the concept of incorporation of excluding features in fuzzy relational compositions based on generalized quantifiers. Most of valid properties preserved for the two mentioned approaches will be proved for the new concept as well. Furthermore, an illustrative example will be presented for showing the usefulness of the approach.

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Vorheriges Kapitel Fuzzy Relation Equations with Fuzzy Quantifiers

Nächstes Kapitel A New Optimization Metaheuristic Based on the Self-defense Techniques of Natural Plants Applied to the CEC 2015 Benchmark Functions

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Titel: Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
verfasst von: Nhung Cao
Martin Štěpnička
Verlag: Springer International Publishing
Buch: Advances in Fuzzy Logic and Technology 2017
Print ISBN: 978-3-319-66829-1

Electronic ISBN: 978-3-319-66830-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-66830-7_33

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