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On rank reversal and TOPSIS method
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M TERESA Lamata
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Modification of TOPSIS method to improve the results of performance evaluation of financial and credit institutions [PDF]
In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking
Rouhollah Kiani Ghaleh no
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Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model [PDF]
Metro is considered one of the fastest and most efficient means of transport within the city in different countries, which reduces traffic and pollution and is more cost-effective and time-efficient.
Vinh Phuc Dung, Minh Tien Nhung
doaj +1 more source
A note on "An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts" [PDF]
The technique for order of preference by similarity to ideal solution (TOPSIS) is a method based on the ideal solutions in which the most desirable alternative should have the shortest distance from positive ideal solution and the longest distance from ...
Amir Mohamadghasemi
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Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a popular multi-criteria decision-making method that ranks the available alternatives by examining the ideal-positive and ideal-negative solutions for each decision criterion. The
Anath Rau Krishnan +5 more
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An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS [PDF]
Multi Criteria Decision Making is a challenging but vital process for organizations. One of the best-known techniques to support Multi-Criteria Decision Making is the ‘Technique for Order Preference by Similarity to Ideal Solution’ (TOPSIS) approach.
Elissa Nadia Madi +2 more
openaire +1 more source
A comparison between TOPSIS and SAW methods
AbstractThe Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Simple Additive Weighting (SAW) are among the most employed approaches for aggregating performances in Multi-Criteria Decision-Making (MCDM). TOPSIS and SAW are two MCDM methods based on the value function approach and are often used in combination with other ...
Francesco Ciardiello, Andrea Genovese
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New extension of TOPSIS method for solving inaccurate MADM problems modeled with hesitant fuzzy numbers [PDF]
Purpose: The aim of this paper is to propose a new extension of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to be applied with Hesitant Fuzzy Numbers (HFNs).Methodology: At first, the uncertainty of all enteries of ...
Abazar Keikha
doaj +1 more source
TOPSIS Hybrid Methods Comparison, AHP-TOPSIS and SAW-TOPSIS
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is one method that is often used in decision support systems, TOPSIS has a weakness in weight calculations that can be overcome by combining other methods. The purpose of this study is to compare 2 TOPSIS hybrid methods namely AHPTOPSIS and SAW-TOPSIS to determine the accuracy ...
Gunawan Wibisono, Suhirman
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Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS [PDF]
In this study, we introduce a novel modified synthetic evaluation method (M-TOPSIS) based on the concept of original TOPSIS and calculate the distance between the alternatives and ‘optimized ideal reference point’ in the D D-plane. It could avoid rank reversals and solve the problem on evaluation failure that often occurs in original TOPSIS, so we ...
L. Ren, Y. Zhang, Y. Wang, Z. Sun
openaire +1 more source

