MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment

Surapati Pramanik; Partha Pratim Dey; Florentin Smarandache

doi:10.20944/preprints201804.0012.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 31 March 2018 / Approved: 2 April 2018 / Online: 2 April 2018 (08:47:02 CEST)

The paper investigates some similarity measures in interval bipolar neutrosophic environment for multi-attribute decision making problems. At first, we define Hamming and Euclidean distances measures between interval bipolar neutrosophic sets and establish their basic properties. We also propose two similarity measures based on the Hamming and Euclidean distance functions. Using maximum and minimum operators, we define new similarity measures and prove their basic properties. Using the proposed similarity measures, we propose a novel multi attribute decision making strategy in interval bipolar neutrosophic set environment. Lastly, we solve an illustrative example of multi attribute decision making and present comparison analysis to show the feasibility, applicability and effectiveness of the proposed strategy.

neutrosophic set; interval bipolar neutrosophic set; multi-attribute decision making; distance measures; similarity measures

MATHEMATICS & COMPUTER SCIENCE, Applied Mathematics

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MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment

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