An extension of TOPSIS for group decision making
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An extension of TOPSIS (technique for order performance by similarity to ideal solution), a multi-attribute decision making (MADM) technique, to a group decision environment is investigated and the model is demonstrated to be both robust and efficient.About:
This article is published in Mathematical and Computer Modelling.The article was published on 2007-04-01 and is currently open access. It has received 1125 citations till now. The article focuses on the topics: TOPSIS & Group decision-making.read more
Citations
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Journal ArticleDOI
Review: A state-of the-art survey of TOPSIS applications
TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
Journal ArticleDOI
A review of multi criteria decision making (MCDM) towards sustainable renewable energy development
Abhishek Kumar,Bikash Sah,Arvind R. Singh,Yan Deng,Xiangning He,Praveen Kumar,Ramesh C. Bansal +6 more
TL;DR: In this paper, an extensive review in the sphere of sustainable energy has been performed by utilizing multiple criteria decision making (MCDM) technique and future prospects in this area are discussed.
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A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach
TL;DR: In this article, the problem of identifying an effective model based on the Triple Bottom Line (TBL) approach (economic, environmental, and social aspects) for supplier selection operations in supply chains by presenting a fuzzy multi criteria approach.
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Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
Abbas Mardani,Ahmad Jusoh,Khalil Md Nor,Zainab Khalifah,Norhayati Mohmad Zakwan,Alireza Valipour +5 more
TL;DR: The results of this study indicated that in 2013 scholars have published articles more than in other years, and energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.
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Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain
TL;DR: In this article, an integrated approach of fuzzy multi attribute utility theory and multi-objective programming is presented for rating and selecting the best green suppliers according to economic and environmental criteria and then allocating the optimum order quantities among them.
References
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Book ChapterDOI
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Book
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Journal ArticleDOI
Extensions of the TOPSIS for group decision-making under fuzzy environment
TL;DR: The rating of each alternative and the weight of each criterion are described by linguistic terms which can be expressed in triangular fuzzy numbers and a vertex method is proposed to calculate the distance between two triangular fuzzyNumbers.
Book
Multiple attribute decision making : an introduction
Kwangsun Yoon,Ching-Lai Hwang +1 more
TL;DR: Introduction Attribute Generation, Data and Weight Noncompensatory Methods Scoring Methods TopSIS ELECTRE Methods for Qualitative Data Extensions are presented.