An extension of TOPSIS for group decision making

By Hsu-Shih Shih, Huan-Jyh Shyur, E. Lee. Mathematical and computer modelling, 2007

1,445 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/b41e1a31ac72a110fc6b8384b58249b63f8cd8e5

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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

An integrated green supplier selection approach with analytic network process and improved Grey relational analysis (2015, background): “According to Shih et al. (2007), the major weaknesses of TOPSIS are in not providing for weight elicitation, and consistency checking for judgments.”
The analysis of the quality of the results obtained with the methods of multi‐criteria decisions (2009, methodology): “For the mapping to the dimensionless interval (normalisation) (Zavadskas et al. 2003; Ginevičius 2008; Bhangale et al. 2004; Wang and Elhag 2006; Shin et al. 2007; Milani et al. 2005; Turskis et al. 2009; Zavadskas and Turskis 2008) several functions are used.”
An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number (2019, methodology): “In crisp setting, an extended TOPSIS strategy for MAGDM under GDM was established by Shih [22].”
Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review (2020, methodology): “TOPSIS • Works with a fundamental ranking • The method completely uses allocated information • The information need not be independent • The method has a rational and comprehensible logic, and the concept is in a quite simple mathematical form • The computation process is quite simple compared with ”
An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment (2011, background): “[114], at least three TOPSIS advantages can be identified: (1) a sound logic that simulates the rationale of human choice; (2) a scalar value that accounts for both the best and worst actions simultaneously; and (3) a simple computation process that can be easily programmed into a spreadsheet.”
Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem (2011, methodology): “oulos (1997), Shih et al. (2007).”