On the extent analysis method for fuzzy AHP and its applications

By Yingming Wang, Ying Luo, Zhongsheng Hua. European Journal of Operational Research, 2008

726 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/59aca5bffa1b8e29974cc10ca75d85890cf16fdd

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In Control and Systems Engineering

In Industrial and Manufacturing Engineering

In Management Science and Operations Research

Citations in the corpus

Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP (2013, background): “In spite of its popularity, due to the complexity, vagueness and uncertainty involved in real world decision-making problems, DMs may sometimes feel more confident to provide fuzzy judgments than crisp comparisons (Wang et al. 2008).”
A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain (2012, methodology): “Although AHP is a celebrated method for MCDM problems, particularly when qualitative assessment is needed, it is unable to process uncertain variables (Wang et al., 2008).”
Intuitionistic Fuzzy Analytic Hierarchy Process (2014, methodology): “, triangular fuzzy numbers (see [7] and [9]–[11]) and trapezoidal fuzzy numbers (see [8]).”
Fuzzy logic modifications of the Analytic Hierarchy Process (2017, neutral): “[Wang et al. (2008)]”
The state-of-the-art integrations and applications of the analytic hierarchy process (2017, methodology): “(Wang et al., 2008), electronics supplier evaluation and selection (Zhang et al.”
Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS (2013, methodology): “AHP has been used in a host of different situations resulting in very rich and extensive literature (Tabucanon et al. 1994, Gaudenzi and Borghesi 2006, Zayed et al. 2008), however the problem of dealing with subjective assessments remains largely unsolved (Wang et al. 2008).”
Modeling uncertainty in multi-criteria decision analysis (2012, background): “[144] have recently convincingly argued that the weights obtained using extent analysis model do not represent the relative importance of criteria or alternatives because they confuse evidence of strength with the measurement of that strength.”