Comparison of weights in TOPSIS models

By David L. Olson. Mathematical and computer modelling, 2004

812 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/05428ea07500c5fb0a73806bdffacd490e92a04d

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In Control and Systems Engineering

In Management of Technology and Innovation

In Management Science and Operations Research

Citations in the corpus

Evaluation of Classification Algorithms Using MCDM and Rank Correlation (2012, background): “It finds the best alternatives by minimizing the distance to the ideal solution and maximizing the distance to the nadir or negative-ideal solution.(27) A number of extensions and variations of TOPSIS have been developed over the years.”
An extension of TOPSIS for group decision making (2007, background): “Moreover, interested readers can also refer to Olson [31] for different weighting schemes in TOPSIS models.”
A state-of the-art survey of TOPSIS applications (2012, background): “…and fuzzy TOPSIS Liu, Zhang, Zhang, and Liu (2010) Standardizing vulnerability factor values derived by the security analysis model for communication networks in power control systems AHP and attack graph Olson (2004) Evaluating the performance of a baseball team based on a number of criteria”
Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation (2021, background): “The performance distance in TOPSIS is cardinal and consists of a second power metric in the Euclidean n-space (Olson 2004).”
Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach (2015, methodology): “The optimization steps of TOPSIS were calculated using the following procedure [29].”
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment (2007, methodology): “This approach is employed for four reasons: (a) TOPSIS logic is rational and understandable; (b) the computation processes are straightforward; (c) the concept permits the pursuit of best alternatives for each criterion depicted in a simple mathematical form, and (d) the importance weights are incor”
PROJECT SELECTION BY USING FUZZY AHP AND TOPSIS TECHNIQUE (2007, neutral): “TOPSIS General Topsis process with six activities is listed below [21]: Activity 1 Establish a decision matrix for the ranking.”
Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology (2009, methodology): “The procedure of TOPSIS can be expressed in a series of steps (Jahanshahloo et al., 2006; Olson, 2004; Sen & Yang, 1998; Yang & Hung, 2007):”
Evaluation of clustering algorithms for financial risk analysis using MCDM methods (2014, methodology): “The experiment uses the following TOPSIS procedure adopted from Opricovic and Tzeng [52] and Olson [49]:”
Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment (2006, neutral): “…Deng, Yeh &Willis, 2000; Feng &Wang, 2000, 2001; Hwang & Yoon, 1981; Jee & Kang, 2000; Kim, Park & Yoon, 1997; Lai, Liu & Hwang, 1994; Liao, 2003; Olson, 2004; Opricovic & Tzeng, 2004; Parkan & Wu, 1997, 1999; Tong & Su, 1997; Tzeng, Lin & Opricovic, 2005; Zanakis, Solomon, Wishart & Dublish,…”