Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
First Course On Fuzzy Theory And Applications.
First Course On Fuzzy Theory And Applications.
Fuzzy Optimization and Decision Making
Information Sciences—Informatics and Computer Science: An International Journal
Linear programming models for estimating weights in the analytic hierarchy process
Computers and Operations Research
Prioritization of organizational capital measurement indicators using fuzzy AHP
International Journal of Approximate Reasoning
Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems
Fuzzy least-squares priority method in the analytic hierarchy process
Fuzzy Sets and Systems
Information Sciences: an International Journal
MAGDM Linear-Programming Models With Distinct Uncertain Preference Structures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Why the magic number seven plus or minus two
Mathematical and Computer Modelling: An International Journal
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.00 |
Fuzzy analytic hierarchy process (FAHP) has increasingly been applied in many areas. Extent analysis method is the popular tool for prioritization in FAHP, although significant technical errors are identified in this study. With addressing the errors, this research proposes membership maximization prioritization methods (MMPMs) using different membership functions as the novel solutions. As a lack of research about effectiveness measurement on the crisp/fuzzy prioritization methods, this study proposes membership fitness index to evaluate the effectiveness of the prioritization methods. Comparisons with the other popular fuzzy/crisp prioritization methods including modified fuzzy preference programming, Direct least squares, and Eigen value are conducted and analyses indicate that MMPMs lead to much more reliable result in view of membership fitness index. A numerical example demonstrates the usability of MMPMs for FAHP, and thus MMPMs can effectively be applied to various decision analysis applications.