Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy hierarchical analysis: the Lambda-Max method
Fuzzy Sets and Systems - Special issue on clustering and learning
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
International Journal of Intelligent Systems
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Fuzzy analytic network process and its application to the development of decision support systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology
International Journal of Approximate Reasoning
Hi-index | 12.05 |
Commodity acquisition is one of the most critical tasks in a firm especially for an accountancy department. Because of imprecise and uncertain product requirements, firm accountants have to make their best effort at this stage. Determining the most critical criteria for commodity acquisition process is a vital means for a firm to balance its limited budget. Therefore, firms have used different methods to cope with this time-consuming and mentally intensive process. This study develops a fuzzy analytic network process model which may help firm accountants in this process. Results derived from a data sample are presented to exemplify the established model. Briefly, this paper proposes an intelligent approach to vendor selection through a fuzzy ANP which takes into consideration quantitative and qualitative elements in evaluating vendor alternatives.