A decision making approach based on bipolar multi-fuzzy soft set theory

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: [email protected]

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