Developing a fuzzy TOPSIS approach based on subjective weights and objective weights

By Tien-Chin Wang, Hsien-Da Lee. Expert systems with applications, 2009

911 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/a1b404654df5a64d2224de78678db36898e24862

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In Management of Technology and Innovation

In Management Science and Operations Research

In Strategy and Management

Citations in the corpus

A state-of the-art survey of TOPSIS applications (2012, methodology): “…Sobczak and Berry (2007) Ranking strategic preliminary requirements for management information systems AHP, weighted sum model and Borda method Wang and Lee (2009) Selecting a new information system to improve work productivity for a computer center Fuzzy TOPSIS and entropy method Yeh (2002)…”
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting (2011, methodology): “Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier .com/locate /eswa weighting methods into two categories: subjective methods and objective methods (Wang & Lee, 2009).”
Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers (2018, background): “Wang and Lee (2009) proposed a new fuzzy TOPSIS for evaluating alternatives by integrating using subjective and objective weights.”
Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru (2016, methodology): “Then, the steps of the entropy-weight method can be expressed as follows (Fagbote et al., 2014; Ji et al., 2015; Wang and Lee, 2009; Xie and Yang, 2011):”
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques (2021, background): “e) In step e), the value of projection (pv), entropy (Ent), divergence (Div), and weight (Wgt) of each data set feature Yij is calculated, respectively, [49].”
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, background): “widely used to evaluate a finite number of decision alternatives with multiple criteria [5, 6].”
A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria (2021, background): “The existing literature classified the weighting methods into two distinct groups, namely subjective and objective methods [6,7].”
Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators (2011, methodology): “Practical example Now we consider a software selection problem in which alternatives are the software packages to be selected and criteria are those attributes under consideration (adapted from Wang and Lee [10].”
A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location (2010, background): “These are approaches which measure the alternative ratings and weights of the criteria and are crisp or expressed in precise numbers which depends upon decision maker’s judgements or preferences (Wang and Lee 2009).”