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A generalized belief interval-valued soft set with applications in decision making


Cheng, C and Cao, Z and Xiao, F, A generalized belief interval-valued soft set with applications in decision making, Soft Computing, 24, (13) pp. 9339-9350. ISSN 1432-7643 (2020) [Refereed Article]

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Copyright 2020 Springer-Verlag GmbH Germany, part of Springer Nature

DOI: doi:10.1007/s00500-020-04949-x


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 Details

Item Type:Refereed Article
Keywords:intuitionistic fuzzy set, soft set, generalized belief interval-valued soft set, multi-attribute decision making (MADM), Dempster–Shafer Theory
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Defence
Objective Group:Defence
Objective Field:Intelligence, surveillance and space
UTAS Author:Cao, Z (Dr Zehong Cao)
ID Code:138996
Year Published:2020
Web of Science® Times Cited:8
Deposited By:Information and Communication Technology
Deposited On:2020-05-18
Last Modified:2020-08-25

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