A development of multi – polar interval valued fuzzy soft set with applications
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Date
2020
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Publisher
UMT Lahore
Abstract
The similarity measure for the fuzzy system plays a very important role in dealing with problems that recognize ambiguous information but are unable to deal with the complexity and ambiguity of multi-polar interval-valued information issues. To minimize this gap, a certain distance between two multi-polar interval-valued fuzzy soft sets (mIVF soft-set) will be defined in this study. A new distance-based similarity measure (Sim. M) IVFS, some basic operations like union, intersection, complement, and difference will be proposed. An application that the suggested Sim. M IVFS typeset can recognize various objects belonging to the same family that will be demonstrated for understanding.