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.
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