Defuzzification within a Multicriteria Decision Model

By Serafim Opricovic, Gwo-Hshiung Tzeng. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

762 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6331ae79c3a88bf47eb28dad8a27f1f56855a383

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In Control and Systems Engineering

In Management, Monitoring, Policy and Law

In Management Science and Operations Research

Citations in the corpus

A causal analytical method for group decision-making under fuzzy environment (2008, methodology): “Here, we suggest the CFCS method proposed by Opricovic and Tzeng (2003) for defuzziﬁcation.”
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard (2009, methodology): “(18) eRi ¼ ðLRi;MRi;URiÞ; ð17Þ where LRi ¼ Xn j¼1 Lwj LEij; MRi ¼ Xn j¼1 Mwj MEij; URi ¼ Xn j¼1 Uwj UEij: ð18Þ Next, the procedure of defuzzification (Hsieh et al., 2004; Opricovic & Tzeng, 2003) locates the Best Nonfuzzy Performance value (BNP).”
Fuzzy VIKOR with an application to water resources planning (2011, neutral): “Crisp values by the center-of-gravity (k = 1, Appendix A) are N1 = 5.667, N2 = 7.333, N3 = 5.333, and by the CFCS method (Opricovic & Tzeng, 2003) N1 = 6.29, N2 = 6.71, N3 = 4.88.”
An assessment of exploiting renewable energy sources with concerns of policy and technology (2010, methodology): “A center of the area defuzzification method is used to determine the optimal non-fuzzy performance (BNP) value of these fuzzy numbers (Opricovic and Tzeng, 2003), and the BNP value is derived by”
DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications (2018, methodology): “To interpret the results easily and keep the complexity of the system manageable, Tzeng [19] established a simplified normalized total-influence matrix ?”
Developing global managers' competencies using the fuzzy DEMATEL method (2007, methodology): “The CFCS method proposed by Opricovic and Tzeng (2003) is based on the procedure of determining the left and right scores by fuzzy min and fuzzy max, and the total score is determined as a weighted average according to the membership functions.”