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TOPSIS for Solving Multi-Attribute Decision Making Problems under Bi-Polar Neutrosophic Environment

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Book Synopsis TOPSIS for Solving Multi-Attribute Decision Making Problems under Bi-Polar Neutrosophic Environment by : PARTHA PRATIM DEY

Download or read book TOPSIS for Solving Multi-Attribute Decision Making Problems under Bi-Polar Neutrosophic Environment written by PARTHA PRATIM DEY. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: The paper investigates a technique for order preference by similarity to ideal solution (TOPSIS) method to solve multi-attribute decision making problems with bipolar neutrosophic information.

TOPSIS Strategy for Multi-Attribute Decision Making with Trapezoidal Neutrosophic Numbers

Mathematics
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Genre : Mathematics
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Book Synopsis TOPSIS Strategy for Multi-Attribute Decision Making with Trapezoidal Neutrosophic Numbers by : Pranab Biswas

Download or read book TOPSIS Strategy for Multi-Attribute Decision Making with Trapezoidal Neutrosophic Numbers written by Pranab Biswas. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a popular strategy for Multi-Attribute Decision Making (MADM). In this paper, we extend the TOPSIS strategy of MADM problems in trapezoidal neutrosophic number environment.

Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems

2020-12-01 Mathematics
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Release : 2020-12-01
Genre : Mathematics
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Book Synopsis Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems by : Rana Muhammad Zulqarnain

Download or read book Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems written by Rana Muhammad Zulqarnain. This book was released on 2020-12-01. Available in PDF, EPUB and Kindle. Book excerpt: Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from multiple alternatives and multiple conditions. The technique for order preference by similarity to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to neutrosophic fuzzy TOPSIS, and prove the accuracy of the method by explaining the MCDM problem with single-value neutrosophic information, and use the method for supplier selection in the production industry. We hope that this article will promote future scientific research on numerous existence issues based on multi-criteria decision making.

AN EXTENSION OF THE TOPSIS FOR MULTI-ATTRIBUTE GROUP DECISION MAKING UNDER NEUTROSOPHIC ENVIRONMENT

Mathematics
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Book Synopsis AN EXTENSION OF THE TOPSIS FOR MULTI-ATTRIBUTE GROUP DECISION MAKING UNDER NEUTROSOPHIC ENVIRONMENT by : Amirhossein Nafei

Download or read book AN EXTENSION OF THE TOPSIS FOR MULTI-ATTRIBUTE GROUP DECISION MAKING UNDER NEUTROSOPHIC ENVIRONMENT written by Amirhossein Nafei. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bipolar Neutrosophic Projection Based Models for Solving Multi-attribute Decision Making Problems

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Book Synopsis Bipolar Neutrosophic Projection Based Models for Solving Multi-attribute Decision Making Problems by : Surapati Pramanik

Download or read book Bipolar Neutrosophic Projection Based Models for Solving Multi-attribute Decision Making Problems written by Surapati Pramanik. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems.

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