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Hausdorff Distance and Similarity Measures for Single-Valued Neutrosophic Sets with Application in Multi-Criteria Decision Making
Language: en
Pages: 17
Authors: Mehboob Ali
Categories: Mathematics
Type: BOOK - Published: 2022-01-01 - Publisher: Infinite Study

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Hausdorff distance is one of the important distance measures to study the degree of dissimilarity between two sets that had been used in various fields under fu
MULTI-CRITERIA DECISION MAKING METHOD BASED ON SIMILARITY MEASURES UNDER SINGLE VALUED NEUTROSOPHIC REFINED AND INTERVAL NEUTROSOPHIC REFINED ENVIRONMENTS
Language: en
Pages: 15
Authors: FARUK KARAASLAN
Categories:
Type: BOOK - Published: - Publisher: Infinite Study

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In this paper, we propose three similarity measure methods for single valued neutrosophic refined sets and interval neutrosophic refined sets based on Jaccard
Similarity Measures of Quadripartitioned Single Valued Bipolar Neutrosophic Sets and Its Application in Multi-Criteria Decision Making Problems
Language: en
Pages: 17
Authors: Subhadip Roy
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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In this paper, a definition of quadripartitioned single valued bipolar neutrosophic set (QSVBNS) is introduced as a generalization of both quadripartitioned sin
Some new operations on single-valued neutrosophic matrices and their applications in multi-criteria group decision making
Language: en
Pages: 21
Authors: Faruk Karaaslan
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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The single-valued neutrosophic set plays a crucial role to handle indeterminant and inconsistent information during decision making process. In recent research,
New distance and similarity measures of single value neutrosophic sets with application in multi-criteria decision-making
Language: en
Pages: 16
Authors: Yameng Wang
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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The processing of uncertainty information has gradually became one of the hot issues in arti cial intelligence eld, and the infor- mation measures of uncertaint