TODIM Method for Multiple Attribute Group Decision Making under 2 Tuple Linguistic Neutrosophic Environment

TODIM Method for Multiple Attribute Group Decision Making under 2 Tuple Linguistic Neutrosophic Environment
Author: Jie Wang, Guiwu Wei, Mao Lu
Publsiher: Infinite Study
Total Pages: 17
Release: 2024
Genre: Mathematics
ISBN: 9182736450XXX

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In this article, we extend the original TODIM (Portuguese acronym for Interactive Multi-Criteria Decision Making) method to the 2-tuple linguistic neutrosophic fuzzy environment to propose the 2TLNNs TODIM method. In the extended method, we use 2-tuple linguistic neutrosophic numbers (2TLNNs) to present the criteria values in multiple attribute group decision making (MAGDM) problems.

VIKOR method for multiple criteria group decision making under 2 tuple linguistic neutrosophic environment

VIKOR method for multiple criteria group decision making under 2 tuple linguistic neutrosophic environment
Author: Guiwu Wei,Jie Wang,Jianping Lu,Jiang Wu,Cun Wei,Fuad E. Alsaadi,Tasawar Hayat
Publsiher: Infinite Study
Total Pages: 25
Release: 2024
Genre: Mathematics
ISBN: 9182736450XXX

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In this article, the VIKOR method is proposed to solve the multiple criteria group decision making (MCGDM) with 2-tuple linguistic neutrosophic numbers (2TLNNs). Firstly, the fundamental concepts, operation formulas and distance calculating method of 2TLNNs are introduced. Then some aggregation operators of 2TLNNs are reviewed.

Multiple Attribute Group Decision Making Based on 2 Tuple Linguistic Neutrosophic Dombi Power Heronian Mean Operators

Multiple Attribute Group Decision Making Based on 2 Tuple Linguistic Neutrosophic Dombi Power Heronian Mean Operators
Author: Peide Liu, Qaisar Khan,Tahir Mahmood,Florentin Smarandache,Ying Li
Publsiher: Infinite Study
Total Pages: 22
Release: 2024
Genre: Mathematics
ISBN: 9182736450XXX

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As an expansion of 2-tuple linguistic intuitionistic fuzzy set, the newly developed 2-tuple linguistic neutrosophic set (2-TLNS) is more satisfactory to define decision maker’s assessment information in decision making problems. 2-TLN aggregation operators are of great significance in multiple attribute group decision making (MAGDM) problems with a 2-tuple linguistic environment. Therefore, in this article our main contribution is to develop novel 2-TLN power Heronian aggregation (2-TLNPHM) operators.

TODIM Method for Single Valued Neutrosophic Multiple Attribute Decision Making

TODIM Method for Single Valued Neutrosophic Multiple Attribute Decision Making
Author: Dong-Sheng Xu,Cun Wei,Gui-Wu Wei
Publsiher: Infinite Study
Total Pages: 18
Release: 2024
Genre: Electronic Book
ISBN: 9182736450XXX

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Recently, the TODIM has been used to solve multiple attribute decision making (MADM) problems. The single-valued neutrosophic sets (SVNSs) are useful tools to depict the uncertainty of the MADM.

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple Criteria Group Decision Making Problems

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple Criteria Group Decision Making Problems
Author: Irvanizam Irvanizam,Nawar Nabila Zi,Rahma Zuhra,Amrusi Amrusi,Hizir Sofyan
Publsiher: Infinite Study
Total Pages: 18
Release: 2024
Genre: Mathematics
ISBN: 9182736450XXX

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In this manuscript, we extend the traditional multi-attributive border approximation area comparison (MABAC) method for the multiple-criteria group decision-making (MCGDM) with triangular fuzzy neutrosophic numbers (TFNNs) to propose the TFNNs-MABAC method.

An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers

An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers
Author: Jie Wang, Guiwu We,Mao Lu
Publsiher: Infinite Study
Total Pages: 15
Release: 2024
Genre: Mathematics
ISBN: 9182736450XXX

Download An Extended VIKOR Method for Multiple Criteria Group Decision Making with Triangular Fuzzy Neutrosophic Numbers Book in PDF, Epub and Kindle

In this article, we combine the original VIKOR model with a triangular fuzzy neutrosophic set to propose the triangular fuzzy neutrosophic VIKOR method. In the extended method, we use the triangular fuzzy neutrosophic numbers (TFNNs) to present the criteria values in multiple criteria group decision making (MCGDM) problems. Firstly, we summarily introduce the fundamental concepts, operation formulas and distance calculating method of TFNNs. Then we review some aggregation operators of TFNNs. Thereafter, we extend the original VIKOR model to the triangular fuzzy neutrosophic environment and introduce the calculating steps of the TFNNs VIKOR method, our proposed method which is more reasonable and scientific for considering the conflicting criteria. Furthermore, a numerical example for potential evaluation of emerging technology commercialization is presented to illustrate the new method, and some comparisons are also conducted to further illustrate advantages of the new method.

Fuzzy Techniques for Decision Making 2018

Fuzzy Techniques for Decision Making 2018
Author: José Carlos R. Alcantud
Publsiher: MDPI
Total Pages: 776
Release: 2020-12-02
Genre: Technology & Engineering
ISBN: 9783039364152

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Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches.