Journal ArticleDOI
Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives
Fatemeh Torfi,Reza Zanjirani Farahani,Shabnam Rezapour +2 more
- Vol. 10, Iss: 2, pp 520-528
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TLDR
A Fuzzy multi-criteria decision-making approach (FMCDM) to evaluate the alternative options in respect to the user's preference orders and when the performance ratings are vague and imprecise, this FBuzzy MCDM is a preferred solution.Abstract:
The aim of this study is to propose a Fuzzy multi-criteria decision-making approach (FMCDM) to evaluate the alternative options in respect to the user's preference orders. Two FMCDM methods are proposed for solving the MCDM problem: Fuzzy Analytic Hierarchy Process (FAHP) is applied to determine the relative weights of the evaluation criteria and the extension of the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) is applied to rank the alternatives. Empirical results show that the proposed methods are viable approaches in solving the problem. When the performance ratings are vague and imprecise, this Fuzzy MCDM is a preferred solution.read more
Citations
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Journal ArticleDOI
Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014
TL;DR: This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals and indicated that, in 2013, scholars have published papers more than other years.
Journal ArticleDOI
Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies
TL;DR: The results showed that these novel methodologies are able to assess the overall risks of construction projects, select the project that has the lowest risk with the contribution of relative importance index, and have potential applications in the future.
Journal ArticleDOI
Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment
TL;DR: This paper extends the TOPSIS method to solve multiple attribute group decision making (MAGDM) problems in interval-valued intuitionistic fuzzy environment in which all the preference information provided by the decision-makers is presented as interval-valuable intuitionism fuzzy decision matrices.
Journal ArticleDOI
A linguistic consensus model for Web 2.0 communities
TL;DR: A new consensus reaching model is presented which uses linguistic preferences and is designed to minimize the main problems that this kind of organization presents while incorporating the benefits that a Web 2.0 community offers.
Journal ArticleDOI
Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers
TL;DR: A methodology based on fuzzy analytical hierarchy process (Fuzzy AHP and fuzzy technique for order performance by similarity to ideal solution) in which fuzzy AHP is applied to get the weights of each barrier by using pairwise comparison, and fuzzy TOPSIS is applied for the final ranking of the solutions of reverse logistics implementation.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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 Attribute Decision Making: Methods and Applications
TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
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.