Cluster analysis model with T-fuzzy data

Authors:
Bing-Yuan Cao
Affiliations:
Guangzhou Higher Education Mega Center, Mathematics & Information Science School, Guangzhou University, Guangzhou, China 510006
Venue:
Fuzzy Optimization and Decision Making
Year:
2008

Citing 2
Cited 0

Fuzzy Sets and Systems: Theory and Applications

Fuzzy Sets and Systems: Theory and Applications
An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique

IEEE Transactions on Computers

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Abstract

With T-fuzzy data definition, properties and weigh-and-measure formula given and dimension unified by the aid of normal standardization, first, the author discusses Min-Max (resp. Max-Min) transitive closure as well as 驴 (or β) threshold value principle with a shortcut method produced for the cluster. Besides, he establishes a cluster analysis model with T-fuzzy data, and gains an access to T-fuzzy data and two approaches to non-fuzzifying. Finally, he shows results generally in coincident with practice, by an example in this paper.