Axiomatic foundation of the analytic hierarchy process
Management Science
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Cluster analysis based in fuzzy relations
Fuzzy Sets and Systems - Special issue on clustering and learning
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Optimality test for generalized FCM and its application to parameter selection
IEEE Transactions on Fuzzy Systems
Mathematical and Computer Modelling: An International Journal
Interval-valued fuzzy relation-based clustering with its application to performance evaluation
Computers & Mathematics with Applications
On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering
Computers & Mathematics with Applications
Fuzzy random renewal process with queueing applications
Computers & Mathematics with Applications
A spatial decision support system for land-use structure optimization
WSEAS Transactions on Computers
A method of relational fuzzy clustering based on producing feature vectors using FastMap
Information Sciences: an International Journal
Multi-attribute Weight Allocation Based on Fuzzy Clustering Analysis and Rough Sets
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Information Sciences: an International Journal
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The purpose of this study is to establish hierarchical structures for the performance evaluation of vague, humanistic complicated systems. To overcome the difficulties due to partial information and the vagueness of human knowledge and recognition, a fuzzy relation-based clustering method is proposed to model this evaluation. First, the effects of different max-t"i compositions on the formation of clusters are discussed. Then, an improved clustering algorithm is developed to produce several partition trees with different levels and clusters according to different t"i-norm compositions. To demonstrate the usefulness of the proposed algorithm, the academic departments of higher education were considered using actual engineering school data in Taiwan. Three performance evaluation structures are established by using max-t"1, max-t"2 and max-t"3 compositions. The results show that the proposed fuzzy hierarchical approach is useful and practical for performance evaluations of complicated humanistic systems.