Grey Relational Analysis Method For Svtrnn Based Multi Attribute Decision Making With Partially Known Or Completely Unknown Weight Information
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Grey Relational Analysis Method For Svtrnn Based Multi Attribute Decision Making With Partially Known Or Completely Unknown Weight Information
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Author : Bibhas C. Giri
language : en
Publisher: Infinite Study
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Grey Relational Analysis Method For Svtrnn Based Multi Attribute Decision Making With Partially Known Or Completely Unknown Weight Information written by Bibhas C. Giri 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.
Single-valued trapezoidal neutrosophic number (SVTrNN), an extension of single-valued neutrosophic set, effectively deals with indeterminate and incomplete information in multi-attribute decision making (MADM) problem. In this paper, we extend the grey relational analysis (GRA) method for solving SVTrNN based MADM problem, where the weight information of attributes is partially known or completely unknown. Following the classical GRA method, we define grey relational co-efficient using a new distance measure. We develop two optimization models to determine the weights of the attributes. We calculate grey positive and negative relational degrees and define the relative closeness co-efficient of each alternative to determine the best alternative.
An Extended Grey Relational Analysis Based Interval Neutrosophic Multi Attribute Decision Making For Weaver Selection
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Author : Partha Pratim Dey
language : en
Publisher: Infinite Study
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An Extended Grey Relational Analysis Based Interval Neutrosophic Multi Attribute Decision Making For Weaver Selection written by Partha Pratim Dey 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 multi-attribute decision making method based on extended grey relation analysis under interval neutrosophic environment. The interval neutrosophic set is an important decision making apparatus that can handle imprecise, indeterminate, inconsistence information.
Three Way Decisions With Single Valued Neutrosophic Decision Theory Rough Sets Based On Grey Relational Analysis
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Author : Peide Liu
language : en
Publisher: Infinite Study
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Three Way Decisions With Single Valued Neutrosophic Decision Theory Rough Sets Based On Grey Relational Analysis written by Peide Liu 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.
+e single-valued neutrosophic set (SVNS) can not only depict imperfect information in the real decision system but also handle undetermined and inconformity information flexibly and effectively. +ree-way decisions (3WDs) are often used as an effective method to deal with uncertainties, but the conditional probability is given by the decision maker subjectively, which makes the decision result too subjective. +is paper proposes a novel model based on 3WDs to settle the multiattribute decision-making (MADM) problems, where the attribute values are described by SVNS, and the attribute weights are entirely unknown. At first, we build a single-valued neutrosophic decision theory rough set (SVNDTRS) model based on Bayesian decision process. +en, we use the analytic hierarchy process (AHP) approach to calculate the subjective weight of each attribute, the information entropy to obtain the attribute’s objective weight, and the minimum total deviation approach to determine the combined weight of the attributes. After obtaining the standard weight, the grey relational analysis (GRA) method is utilized to calculate the grey correlation closeness with the ideal solution, and the conditional probability is estimated by it. In addition, we develop a decisionmaking method in view of the ideal solution of 3WDs with the SVNS. +is approach not only considers the lowest cost but also gives a corresponding semantic explanation for the decision result of each alternative, which can supplement the decision results of GRA. At last, we illustrate the feasibility and effectiveness of 3WDs through an example of supplier selection and compare it with other methods to verify the advantages of our approach.
Gra For Multi Attribute Decision Making In Neutrosophic Cubic Set Environment
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Author : Durga Banerjee
language : en
Publisher: Infinite Study
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Gra For Multi Attribute Decision Making In Neutrosophic Cubic Set Environment written by Durga Banerjee 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.
In this paper, multi attribute decision making problem based on grey relational analysis in neutrosophic cubic set environment is investigated.
Bipolar Neutrosophic Distance Measure In Multi Attribute Decision Making
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Author : Chunfang Liu
language : en
Publisher: Infinite Study
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Bipolar Neutrosophic Distance Measure In Multi Attribute Decision Making written by Chunfang Liu 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.
Bipolar neutrosophic set(BNS) is a generalization of bipolar fuzzy set and neutrosophic set that can describe the uncertain information from both positive and negative perspectives. In this contribution, we study the multi-attribute decision making methods based on the distance measure under the uncertain information which the attribute weights are incompletely known or completely unknown.
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.
Multiple Attribute Decision Making
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Author : Gwo-Hshiung Tzeng
language : en
Publisher: CRC Press
Release Date : 2011-06-22
Multiple Attribute Decision Making written by Gwo-Hshiung Tzeng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-22 with Business & Economics categories.
Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures. The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include: AHP to select planning and design services for a construction project TOPSIS and VIKOR to evaluate the best alternative-fuel vehicles for urban areas ELECTRE to solve network design problems in urban transportation planning PROMETEE to set priorities for the development of new energy systems, from solar thermal to hydrogen energy Fuzzy integrals to evaluate enterprise intranet web sites Rough sets to make decisions in insurance marketing Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.
Multi Attribute Decision Making Based On Rough Neutrosophic Variational Coefficient Similarity Measure
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Author : Kalyan Mondal
language : en
Publisher: Infinite Study
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Multi Attribute Decision Making Based On Rough Neutrosophic Variational Coefficient Similarity Measure written by Kalyan Mondal 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 purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment.
A Decision Making Method By Combining Topsis And Grey Relation Method Under Fuzzy Soft Sets
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Author : Selim ERASLAN
language : en
Publisher: Infinite Study
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A Decision Making Method By Combining Topsis And Grey Relation Method Under Fuzzy Soft Sets written by Selim ERASLAN 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.
In this study, we first introduce the fuzzy sets, soft sets, fuzzy soft sets and their related properties. We then present the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) that is one of classical Multiple Attribute Decision Making (MADM) methods. We also present the Grey Relation Method. In the main part of this study, we extend the TOPSIS method on the fuzzy soft set theory to construct a decision making method to deal with problems that contain uncertainties. To make it we combine the TOPSIS and The Grey Relational Analysis (GRA) under fuzzy soft sets. We finally give an illustrative application for drug selection.
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.