An Improved Clustering Algorithm Using Fuzzy Relation for the Performance Evaluation of Humanistic Systems. Issue 12 (18th October 2014)

• Record Type: Journal Article
• Authors: Beg, Ismat; Rashid, Tabasam
• Is Part Of: International journal of intelligent systems. Volume 29:Issue 12(2014:Dec.)
• Page Start: 1181
• Page End: 1199
• Publication Date: 2014-10-18
• Subjects: Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.21689
• Languages: English
• ISSNs: 0884-8173

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>A hierarchical structure is proposed for the performance evaluation of vague, complicated humanistic systems. An improved fuzzy clustering algorithm is developed to produce several partition trees with different levels and clusters according to different triangular norm compositions. Additionally, a fuzzy clustering algorithm is given to produce a partition tree without using the transitive closure composition. The usefulness of the proposed algorithm is illustrated by an example of actual academic data.</p> </abstract>