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Multi-Criteria Decision-Making Method Based on Prioritized Muirhead Mean Aggregation Operator under Neutrosophic Set Environment
Language: en
Pages: 25
Authors: Harish Garg
Categories: Business & Economics
Type: BOOK - Published: - Publisher: Infinite Study

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The aim of this paper is to introduce some new operators for aggregating single-valued neutrosophic (SVN) information and to apply them to solve the multi-crite
Multi-Criteria Decision-Making Method Based on Prioritized Muirhead Mean Aggregation Operator under Neutrosophic Set Environment
Language: en
Pages: 25
Authors: Harish Garg
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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The aim of this paper is to introduce some new operators for aggregating single-valued neutrosophic (SVN) information and to apply them to solve the multi-crite
Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines
Language: en
Pages: 29
Authors: Weizhang Liang
Categories: Business & Economics
Type: BOOK - Published: - Publisher: Infinite Study

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Land reclamation has become a significant way for the improvement of ecological environment in mining areas. When selecting the optimal land reclamation scheme,
Logarithmic Hybrid Aggregation Operators Based on Single Valued Neutrosophic Sets and Their Applications in Decision Support Systems
Language: en
Pages: 23
Authors: Shahzaib Ashraf
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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The purpose of this paper is to introduce new aggregation operators based on logarithmic operations and to develop a multi-criteria decision-making approach to
The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method
Language: en
Pages: 17
Authors: Majid Khan
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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In the modern world, the computation of vague data is a challenging job. Different theories are presented to deal with such situations. Amongst them, fuzzy set