Version 1
: Received: 31 March 2018 / Approved: 2 April 2018 / Online: 2 April 2018 (08:47:02 CEST)
How to cite:
Pramanik, S.; Dey, P.P.; Smarandache, F. MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment. Preprints2018, 2018040012 (doi: 10.20944/preprints201804.0012.v1).
Pramanik, S.; Dey, P.P.; Smarandache, F. MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment. Preprints 2018, 2018040012 (doi: 10.20944/preprints201804.0012.v1).
Cite as:
Pramanik, S.; Dey, P.P.; Smarandache, F. MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment. Preprints2018, 2018040012 (doi: 10.20944/preprints201804.0012.v1).
Pramanik, S.; Dey, P.P.; Smarandache, F. MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment. Preprints 2018, 2018040012 (doi: 10.20944/preprints201804.0012.v1).
Abstract
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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
