Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets


Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets
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Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets


Group Multi Attribute Decision Making Based On Interval Neutrosophic Sets
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Author : Amir Hossein NAFEI
language : en
Publisher: Infinite Study
Release Date :

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.



Multi Attribute Group Decision Making Based On Multigranulation Probabilistic Models With Interval Valued Neutrosophic Information


Multi Attribute Group Decision Making Based On Multigranulation Probabilistic Models With Interval Valued Neutrosophic Information
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Author : Chao Zhang
language : en
Publisher: Infinite Study
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Multi Attribute Group Decision Making Based On Multigranulation Probabilistic Models With Interval Valued Neutrosophic Information written by Chao Zhang 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 plenty of realistic situations, multi-attribute group decision-making (MAGDM) is ubiquitous and significant in daily activities of individuals and organizations. Among diverse tools for coping with MAGDM, granular computing-based approaches constitute a series of viable and efficient theories by means of multi-view problem solving strategies. In this paper, in order to handle MAGDM issues with interval-valued neutrosophic (IN) information, we adopt one of the granular computing (GrC)-based approaches, known as multigranulation probabilistic models, to address IN MAGDM problems.



Multi Attribute Decision Making Based On Preference Perspective With Interval Neutrosophic Sets In Venture Capital


Multi Attribute Decision Making Based On Preference Perspective With Interval Neutrosophic Sets In Venture Capital
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Author : Yanran Hong
language : en
Publisher: Infinite Study
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Multi Attribute Decision Making Based On Preference Perspective With Interval Neutrosophic Sets In Venture Capital written by Yanran Hong 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.


Fuzzy information in venture capital can be well expressed by neutrosophic numbers, and TODIM method is an effective tool for multi-attribute decision-making. The distance measure is an essential step in TODIM method. The keystone of this paper is to define several new distance measures, in particular the improved interval neutrosophic Euclidean distance, and these measures are applied in the TODIM method for multi-attribute decision-making. Firstly, the normalized generalized interval neutrosophic Hausdorff distance is defined and proved to be valid in this paper. Secondly, we define a weighted parameter interval neutrosophic distance and discuss whether different weight parameters affect the decision result based on TODIM method. Thirdly, considering the preference perspective of decision-makers in behavioral economics, we define the improved interval neutrosophic Euclidean distance with the known parameter of risk preference. Finally, an application example is given to compare the effects of different parameters on the result and discuss the feasibility of these two distance measures in TODIM method.



An Extension Of The Topsis For Multi Attribute Group Decision Making Under Neutrosophic Environment


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.



Multi Attribute Decision Making Strategy On Projection And Bidirectional Projection Measures Of Interval Rough Neutrosophic Sets


Multi Attribute Decision Making Strategy On Projection And Bidirectional Projection Measures Of Interval Rough Neutrosophic Sets
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
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Multi Attribute Decision Making Strategy On Projection And Bidirectional Projection Measures Of Interval Rough Neutrosophic Sets 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 Mathematics categories.


In this paper, we define projection and bidirectional projection measures between interval rough neutrosophic sets and prove their basic properties. Then two new multi attribute decision making strategies are proposed based on interval rough neutrosophic projection and bidirectional projection measures respectively. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies.



Interval Valued Neutrosophic Sets And Multi Attribute Decision Making Based On Generalized Weighted Aggregation Operator


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
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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.



Two New Approaches For Multi Attribute Group Decision Making With Interval Valued Neutrosophic Frank Aggregation Operators And Incomplete Weights


Two New Approaches For Multi Attribute Group Decision Making With Interval Valued Neutrosophic Frank Aggregation Operators And Incomplete Weights
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Author : Li-Ping Zhou
language : en
Publisher: Infinite Study
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Two New Approaches For Multi Attribute Group Decision Making With Interval Valued Neutrosophic Frank Aggregation Operators And Incomplete Weights written by Li-Ping Zhou 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 investigates some Frank aggregation operators of interval-valued neutrosophic numbers (IVNNs) and applies to multi-attribute group decision-making (MAGDM) problems. Firstly, the Frank t-conorm and t-norm are extended to interval-valued neutrosophic environment. Some new operational laws for IVNNs are defined and their related properties are investigated.



Multi Attribute Decision Making Method Based On Aggregated Neutrosophic Set


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.



Multi Attribute Group Decision Making Method Based On Weighted Partitioned Maclaurin Symmetric Mean Operator And A Novel Score Function Under Neutrosophic Cubic Environment


Multi Attribute Group Decision Making Method Based On Weighted Partitioned Maclaurin Symmetric Mean Operator And A Novel Score Function Under Neutrosophic Cubic Environment
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Author : Jianping Fan
language : en
Publisher: Infinite Study
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Multi Attribute Group Decision Making Method Based On Weighted Partitioned Maclaurin Symmetric Mean Operator And A Novel Score Function Under Neutrosophic Cubic Environment written by Jianping Fan 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 cubic set (NCS) is the generalized version of neutrosophic sets and interval neutrosophic sets. It can deal with the complex information by combining the neutrosophic set (NS) and cubic set (CS). The partitioned Maclaurin symmetric mean (PMSM) operator can reflect the interrelationships among attributes where there are interrelationships among attributes in the same partition, but the attributes in different partitions are irrelevant. To effectively gather neutrosophic cubic information, we extend the PMSM operator to neutrosophic cubic environment and define the neutrosophic cubic partitioned Maclaurin symmetric mean (NCPMSM) operator and neutrosophic cubic weighted partitioned Maclaurin symmetric mean (NCWPMSM) operator. Later, we define a novel score function of NCS which overcome the drawbacks of the existing score functions. Next, based on NCWPMSM operator and the novel score function, we develop a multi-attribute group decision-making method. Finally, we give an example of supplier selection to illustrate the usefulness of the proposed multi-attribute group decision-making (MAGDM) method. At the same time, a comparative analysis is to show the effectiveness and advantages of the proposed method compared with the existing methods.



Multi Attribute Group Decision Making Based On Expected Value Of Neutrosophic Trapezoidal Numbers


Multi Attribute Group Decision Making Based On Expected Value Of Neutrosophic Trapezoidal Numbers
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Author : Pranab Biswas
language : en
Publisher: Infinite Study
Release Date :

Multi Attribute Group Decision Making Based On Expected Value Of Neutrosophic Trapezoidal Numbers written by Pranab Biswas 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.


We present an expected value based method for multiple attribute group decision making (MAGDM), where the preference values of alternatives and the importance of attributes are expressed in terms of neutrosophic trapezoidal numbers (NTrNs). First, we introduce an expected value formula for NTrNs to be used in MAGDM.