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Citations of paper extent analysis method on fuzzy AHP by chang 1996?

Type-2 fuzzy sets and systems

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Chang (1996) introduced the Extent Analysis Method in the context of fuzzy AHP . This method has been widely used in fuzzy AHP applications but has faced criticism for potential misapplications and questionable reliability of group weights . Various fuzzy extensions of the eigenvector method have been introduced to address shortcomings in deriving priorities from fuzzy multiplicative pairwise comparison matrices . Additionally, new fuzzy AHP methods have been proposed to handle uncertainty and imprecision in multi-criteria decision-making processes, such as the Magnitude-based Fuzzy AHP and Total Difference-based Fuzzy AHP, which aim to improve accuracy and computational efficiency .

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Open access•Journal Article•DOI Evaluation of several approaches for deriving weights in fuzzy group analytic hierarchy process Petra Grošelj, Lidija Zadnik Stirn - Show less +1 more 16 Apr 2018-Journal of Decision Systems 21 Citations	Not addressed in the paper.
Journal Article•DOI A fuzzy AHP approach based on the concept of possibility extent Chen-Hui Chou, Chen-Hui Chou, Gin-Shuh Liang, Hung-Chung Chang, Hung-Chung Chang - Show less +4 more 01 Jan 2013-Quality & Quantity 53 Citations	Not addressed in the paper.
Journal Article•DOI On the analytic hierarchy process and decision support based on fuzzy-linguistic preference structures Camilo Franco 01 Nov 2014-Knowledge Based Systems 14 Citations	Not addressed in the paper.
Journal Article•DOI Modification of the fuzzy analytic hierarchy process via different ranking methods Ayse Ovgu Kinay, Baris Tekin Tezel - Show less +1 more 01 Jan 2022-International Journal of Intelligent Systems 1 Citations	Not addressed in the paper.
Journal Article•DOI Fuzzy eigenvector method for deriving normalized fuzzy priorities from fuzzy multiplicative pairwise comparison matrices Jana Siebert 01 Jun 2019-Fuzzy Optimization and Decision Making 6 Citations	Not addressed in the paper.

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What happens when fuzzy numbers doesn't intersect while applying extent analysis method by chang?4 answersWhen fuzzy numbers do not intersect during the application of the extent analysis method by Chang, it can lead to inaccuracies in extracting local weights from a fuzzy comparison matrix (FCM) and potentially result in incorrect ranking of alternatives. This issue was highlighted in the study by Arman and Hadi-Vencheh, where they proposed a revised extent analysis (REA) to address the flaws of the traditional extent analysis method. Additionally, Zhu, Shang, and Yang pointed out that the extent analysis method proposed by Chang in 1996 contained errors that could lead to issues such as zero-weight, poor robustness, and unreasonable priorities, making it unsuitable for fuzzy AHP applications. Therefore, when fuzzy numbers fail to intersect, it is crucial to use revised methods like REA to ensure accurate ranking and avoid potential errors in decision-making processes.

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