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Abstract

The belief interval-valued soft set (BIVSS) combines soft set theory and belief interval value (Dempster-Shafer theory). In this study, we propose a generalized belief interval-valued soft set (GBIVSS) approach and explore the associated properties of this approach in decision-making applications. Using the score function, the scoring function and similarity measure used to compare the relationships between GBIVSS are proposed. Then, we applied the GBIVSS to deal with multi-attribute decision making (MADM) problems. Furthermore, we used a case study of car purchase to illustrate the rationality of the proposed approach. In addition, we compare the effectiveness and advantages of our proposed approach and other existing models, which show superior performance in our proposed approach. GBIVSS provides a solution for multi-attribute problems.

Item Type:	Article
Authors/Creators:	Cheng, C and Cao, Z and Xiao, F
Keywords:	intuitionistic fuzzy set, soft set, generalized belief interval-valued soft set, multi-attribute decision making (MADM), Dempster–Shafer Theory
Journal or Publication Title:	Soft Computing
Publisher:	Springer
ISSN:	1432-7643
DOI / ID Number:	https://doi.org/10.1007/s00500-020-04949-x
Copyright Information:	Copyright 2020 Springer-Verlag GmbH Germany, part of Springer Nature
Related URLs:	Google Scholar: Cao, Z
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