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Multicriteria Decision‐Making Method Based on Similarity Measures under Single‐Valued Neutrosophic Refined and Interval Neutrosophic Refined Environments
Author(s) -
Karaaslan Faruk
Publication year - 2018
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21906
Subject(s) - jaccard index , dice , interval (graph theory) , similarity (geometry) , similarity measure , consistency (knowledge bases) , computer science , data mining , mathematics , multiple criteria decision analysis , topsis , cosine similarity , measure (data warehouse) , artificial intelligence , pattern recognition (psychology) , mathematical optimization , operations research , statistics , combinatorics , image (mathematics)
In this paper, we propose three similarity measure methods for single‐valued neutrosophic refined (SVNR) sets and interval neutrosophic refined (INR) sets based on Jaccard, Dice, and Cosine similarity measures of SVN‐sets and interval neutrosophic sets. Furthermore, we suggest two multicriteria decision‐making (MCDM) methods under SVNR environment and INR environment, and give applications of proposed MCDM methods. Finally, we suggest a consistency analysis method for proposed similarity measures between INR‐sets and give an application to demonstrate process of the method.