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Granular Computing

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10.05.2019 | Original Paper

A three-way decision method in a fuzzy condition decision information system and its application in credit card evaluation

verfasst von: Zhaowen Li, Dan Huang

Erschienen in: Granular Computing | Ausgabe 4/2020

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Abstract

An information system as a database that represents relationships between objects and attributes is an important mathematical model in the field of artificial intelligence. A fuzzy condition decision information system(fc-decision information system) is a decision information system where each condition attribute is fuzzy. This paper proposes a three-way decision method in a fc-decision information system and gives its application in credit card evaluation. Gaussian kernel based on fuzzy Euclid distance between fuzzy sets is first acquired. Then the fuzzy \(T{\cos }\)-equivalence relation, induced by a given fc-decision information system, is obtained using Gaussian kernel. Next, based on approximately equal relation (ae-relation) between fuzzy sets, decision-theoretic rough set model in this fc-decision information system is presented. Moreover, a three-way decision method based on this decision-theoretic rough set model is proposed by means of probability measures of sets. Finally, an example of credit card evaluation is employed to illustrate the feasibility of the proposed method.

Vorheriger Artikel An improved random forests approach for interactive lobar segmentation on emphysema detection

Nächster Artikel New approach of triangular neutrosophic cubic linguistic hesitant fuzzy aggregation operators

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Titel: A three-way decision method in a fuzzy condition decision information system and its application in credit card evaluation
verfasst von: Zhaowen Li
Dan Huang
Publikationsdatum: 10.05.2019
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 4/2020
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-019-00172-8

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