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Article type: Research Article
Authors: Yang, Yong | Peng, Xindong | Chen, Hao | Zeng, Ling
Affiliations: College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China
Note: [] Corresponding author. Y. Yang, College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China. E-mail: yangzt@nwnu.edu.cn
Abstract: Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainty. In this work, bipolar multi-fuzzy soft set and its operations are introduced, and a few of their properties are studied. Finally, an algorithm is presented by means of positive and negative level soft sets, and an application based on bipolar multi-fuzzy soft sets in decision making is analyzed.
Keywords: Soft sets, bipolar multi-fuzzy sets, fuzzy soft sets, bipolar multi-fuzzy soft sets, decision making
DOI: 10.3233/IFS-141152
Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 4, pp. 1861-1872, 2014
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