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

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 20 Jul 2016 Turkey English Publisher:Springer Science and Business Media LLCJournal:Neural Computing and Applications, volume 29, pages 739-748 (issn: 0941-0643, eissn: 1433-3058,

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Authors: Vakkas Uluçay; İrfan Deli̇; Mehmet źAhin;

doi: 10.1007/s00521-016-2479-1 , 10.5281/zenodo.3131159 , 10.5281/zenodo.234106 , 10.5281/zenodo.3131158 , 10.5281/zenodo.1413473 , 10.5281/zenodo.1413472 , 10.60692/tz249-er434 , 10.60692/yyy67-32n58

handle: 20.500.11784/3561

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

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Abstract

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.

Country

Turkey

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Keywords

Artificial intelligence, Support vector machine, Decision Making, Social Sciences, Group Decision Making, Set (abstract data type), Multi-Criteria Decision Making, Management Science and Operations Research, Neutrosophic Sets, Pattern recognition (psychology), Decision Sciences, Multi-Objective Transportation Problem Optimization, Bipolar neutrosophic set, Engineering, Neutrosophic set, Similarity measure, Machine learning, FOS: Mathematics, Image (mathematics), Similarity (geometry), Bipolar Neutrosophic Set, Data mining, Dice, Dice Similarity Measure, Statistics, Measure (data warehouse), Computer science, Programming language, Control and Systems Engineering, Physical Sciences, Hybrid Vector Similarity, Mathematics, Neutrosophic sets

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