Title :
Multi-criteria Fuzzy Clustering Problems Based on Vague Set Theory
Author :
Yang, Qingbo ; Li, Jinping ; Zhang, Weiyu ; Gong, Ruiying
Author_Institution :
Shandong Inst. of Light Ind., Jinan
Abstract :
Multi-criteria fuzzy clustering problems are kind of common problems in decision-making and data mining. A method for modeling multi-criteria problems based on vague set theory is used in this paper. Each object in a universe of discourse is represented by a vague set in this model, then similar objects can be clustered into a subgroup after similarity measure between corresponding vague sets. The proposed method can solve the multi-criteria fuzzy clustering problems in a reasonable and reliable way.
Keywords :
fuzzy set theory; pattern clustering; data mining; decision-making; multi-criteria fuzzy clustering problems; vague set theory; Cities and towns; Computer industry; Educational institutions; Educational technology; Fuzzy set theory; Fuzzy sets; Information science; Mathematical model; Mathematics; Set theory;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.413
