Results 1 to 10 of about 17,140 (245)
TOPSIS Hybrid Methods Comparison, AHP-TOPSIS and SAW-TOPSIS
, 2022 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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On rank reversal and TOPSIS method
Mathematical and Computer Modelling, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M TERESA Lamata
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An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS [PDF]
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 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
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A comparison between TOPSIS and SAW methods
Annals of Operations Research, 2023 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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Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS [PDF]
Applied Mathematics Research eXpress, 2010 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
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Underground Mining Method Selection with the Application of TOPSIS Method
GeoScience Engineering, 2022 Multi-criteria decision-making methods are widely used to solve various problems in the industry, as well as to support the planning and designing industrial processes. Mining is a very complex and responsible activity, so when making a major decision, it is necessary to take into account several parameters and perform their detailed analysis.
Mijalkovski, Stojance +4 more
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Assessing Normalization Techniques for TOPSIS Method
, 2021 In recent years, data normalization is receiving considerable attention due to its essential role in decision problems. Especially, considering the new developments in Big data and Artificial Intelligent to handle heterogeneous data from sensors, normalization’s role as a preprocessing step for complex decision problems is more distinguished.
Nazanin Vafaei +2 more
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Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS methods
Journal of Fuzzy Extension and Applications, 2020 We lived in uncertain word and prediction in this uncertain word is a major issue. Prediction in cricket is very complex because there are many factors which are effecting on results. Weather, pitch, Conditions, Home grounds are some of these factors.
Jafar, Muhammad +2 more
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A method for selecting processes for automation with AHP and TOPSIS
Heliyon, 2023 Organizations are more frequently turning towards robotic process automation (RPA) as a solution for employees to focus on higher complexity and more valuable tasks while delegating routine, monotonous and rule-based tasks to their digital colleagues. These software robots can handle various rule-based, digital, repetitive tasks.
Diogo Silva Costa +2 more
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Business Strategy and the Environment, EarlyView.ABSTRACT With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive
Miao Su +3 more
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