A Novel Topsis Mabac Method For Multi Attribute Decision Making With Interval Neutrosophic Set
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A Novel Topsis Mabac Method For Multi Attribute Decision Making With Interval Neutrosophic Set
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Author : Xiangxiang Cui
language : en
Publisher: Infinite Study
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A Novel Topsis Mabac Method For Multi Attribute Decision Making With Interval Neutrosophic Set written by Xiangxiang Cui and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Interval neutrosophic Set is a useful tool to describe the indeterminate, inconsistent, and incomplete information. This paper presents the application of the new TOPSIS-MABAC model with interval neutrosophic number in multi-attribute decision-making problem. In this model, the combined weight of attributes is obtained based on TOPSIS method while the best alternatives by MABAC method. Firstly, some definitions of INS are given in this paper. Secondly, the objective attribute weights are determined by TOPSIS method, and then a combined attribute weight is proposed. Finally an extended MABAC method is developed to rank the alternatives in multi-attribute decision-making problem and an illustrative examples are given to demonstrate the practicality and effectiveness of this new method.
Multi Attribute Decision Making Method Based On Aggregated Neutrosophic Set
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Author : Wen Jiang
language : en
Publisher: Infinite Study
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Multi Attribute Decision Making Method Based On Aggregated Neutrosophic Set written by Wen Jiang and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Multi-attribute decision-making refers to the decision-making problem of selecting the optimal alternative or sorting the scheme when considering multiple attributes, which is widely used in engineering design, economy, management and military, etc. But in real application, the attribute information of many objects is often inaccurate or uncertain, so it is very important for us to find a useful and efficient method to solve the problem.
New Multiple Attribute Decision Making Method Based On Dematel And Topsis For Multi Valued Interval Neutrosophic Sets
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Author : Wei Yang
language : en
Publisher: Infinite Study
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New Multiple Attribute Decision Making Method Based On Dematel And Topsis For Multi Valued Interval Neutrosophic Sets written by Wei Yang and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Interval neutrosophic fuzzy decision making is an important part of decision making under uncertainty, which is based on preference order.
An Extended Topsis Method For Multiple Attribute Decision Making Based On Interval Neutrosophic Uncertain Linguistic Variables
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Author : Said Broumi
language : en
Publisher: Infinite Study
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An Extended Topsis Method For Multiple Attribute Decision Making Based On Interval Neutrosophic Uncertain Linguistic Variables written by Said Broumi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications.
Topsis Approach For Multi Attribute Group Decision Making In Refined Neutrosophic Environment
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Author : SURAPATI PRAMANIK
language : en
Publisher: Infinite Study
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Topsis Approach For Multi Attribute Group Decision Making In Refined Neutrosophic Environment written by SURAPATI PRAMANIK and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
This paper presents TOPSIS approach for multi attribute decision making in refined neutrosophic environment. The weights of each decision makers are considered as a single valued neutrosophic numbers.
An Extended Topsis For Multi Attribute Decision Making Problems With Neutrosophic Cubic Information
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
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An Extended Topsis For Multi Attribute Decision Making Problems With Neutrosophic Cubic Information written by Surapati Pramanik and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The paper proposes a new technique for dealing with multi-attribute decision making problems through an extended TOPSIS method under neutrosophic cubic environment. Neutrosophic cubic set is the generalized form of cubic set and is the hybridization of a neutrosophic set with an interval neutrosophic set.
A New Single Valued Neutrosophic Distance For Topsis Mabac And New Similarity Measure In Multi Attribute Decision Making
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Author : Dongsheng Xu
language : en
Publisher: Infinite Study
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A New Single Valued Neutrosophic Distance For Topsis Mabac And New Similarity Measure In Multi Attribute Decision Making written by Dongsheng Xu and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
The aim of this paper is to define a new distance measure and apply it in three decision-making methods.
Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets
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Author : Amir Hossein NAFEI
language : en
Publisher: Infinite Study
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Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets written by Amir Hossein NAFEI and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
This paper presents a new method for group multi-attribute decision-making (GMADM) based on interval neutrosophic sets, where decision makers determine the weights and the evaluating values of the attributes with respect to the available alternatives by using interval neutrosophic values. In comparison with other existing methods involving group multi-attribute decision making, that only consider crisp or incomplete information, the proposed method, based on interval neutrosophic sets, can handle not only incomplete information but also indeterminate and inconsistent information which is common in real-world situations. Therefore, the method presented in this paper can be more effective and efficient than other decision-making methods.
An Extension Of The Topsis For Multi Attribute Group Decision Making Under Neutrosophic Environment
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Author : Amirhossein Nafei
language : en
Publisher: Infinite Study
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An Extension Of The Topsis For Multi Attribute Group Decision Making Under Neutrosophic Environment written by Amirhossein Nafei and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
In this paper, we first develop a new Hamming distance between single-valued neutrosophic numbers and then present an extension of the TOPSIS method for multi-attribute group decision-making (MAGDM) based on single-valued neutrosophic sets, where the information about attribute values and attribute weights are expressed by decision-makers based on neutrosophic numbers.
Interval Valued Neutrosophic Sets And Multi Attribute Decision Making Based On Generalized Weighted Aggregation Operator
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Author : Zhao Aiwu
language : en
Publisher: Infinite Study
Release Date :
Interval Valued Neutrosophic Sets And Multi Attribute Decision Making Based On Generalized Weighted Aggregation Operator written by Zhao Aiwu and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Neutrosophic sets are powerful logics designed to facilitate understanding of indeterminate and inconsistent information; many types of incomplete or complete information can be expressed as interval valued neutrosophic sets (IVNSs). This paper proposes improved aggregation operation rules for IVNSs, and extends the generalized weighted aggregation (GWA) operator to work congruently with IVNS data. The aggregated results are also expressed as IVNSs, which are characterized by truth membership degree, indeterminacy-membership degree, and falsity-membership degree. The proposed method is proved to be the maximum approximation to the original data, and maintains most of the information during data processing. Then, a method is proposed to determine the ranking orders for all alternatives according to their comparative advantage matrices based on their general score, degree of accuracy and degree of certainty expressed by the aggregated IVNSs. Finally, a numerical example is provided to illustrate the applicability and efficiency of the proposed approach.