Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making

In this paper, we introduced some similarity measures for bipolar neutrosophic sets such as; Dice similarity measure, weighted Dice similarity measure, Hybrid vector similarity measure and weighted Hybrid vector similarity measure. Also we examine the propositions of the similarity measures. Further...

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Bibliographic Details
Published in:Neural computing & applications 2018-02, Vol.29 (3), p.739-748
Main Authors: Uluçay, Vakkas, Deli, Irfan, Şahin, Mehmet
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Decision making
Image Processing and Computer Vision
Multiple criteria decision making
Multiple criterion
Original Article
Probability and Statistics in Computer Science
Similarity
Similarity measures
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Summary:In this paper, we introduced some similarity measures for bipolar neutrosophic sets such as; Dice similarity measure, weighted Dice similarity measure, Hybrid vector similarity measure and weighted Hybrid vector similarity measure. Also we examine the propositions of the similarity measures. Furthermore, a multi-criteria decision-making method for bipolar neutrosophic set is developed based on these given similarity measures. Then, a practical example is shown to verify the feasibility of the new method. Finally, we compare the proposed method with the existing methods in order to demonstrate the practicality and effectiveness of the developed method in this paper.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-016-2479-1