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Granular Computing
Published in: Granular Computing 4/2020

10-05-2019 | Original Paper

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

Authors: Zhaowen Li, Dan Huang

Published in: Granular Computing | Issue 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.
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Metadata
Title
A three-way decision method in a fuzzy condition decision information system and its application in credit card evaluation
Authors
Zhaowen Li
Dan Huang
Publication date
10-05-2019
Publisher
Springer International Publishing
Published in
Granular Computing / Issue 4/2020
Print ISSN: 2364-4966
Electronic ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-019-00172-8

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