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2018 | OriginalPaper | Buchkapitel

General Preference Structure with Uncertainty Data Present by Interval-Valued Fuzzy Relation and Used in Decision Making Model

verfasst von : Barbara Pȩkala

Erschienen in: Advances in Fuzzy Logic and Technology 2017

Verlag: Springer International Publishing

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Abstract

Interval-valued fuzzy relations can be interpreted as a tool that may help to model in a better way imperfect information, especially under imperfectly defined facts and imprecise knowledge. Preference structures are of great interest nowadays because of their applications. From a weak preference relation derive the following relations: strict preference, indifference and incomparability, which by aggregations and negations are created and examined in this paper. Moreover, we propose the algorithm of decision making by using new preference structure.

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Titel: General Preference Structure with Uncertainty Data Present by Interval-Valued Fuzzy Relation and Used in Decision Making Model
verfasst von: Barbara Pȩkala
Verlag: Springer International Publishing
Buch: Advances in Fuzzy Logic and Technology 2017
Print ISBN: 978-3-319-66826-0

Electronic ISBN: 978-3-319-66827-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-66827-7_14

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