Density Weighted Averaging Middle Operator

Author

Yi Ping-tao ; Guo Ya-jun ; Zhang Dan-ning

Author_Institution

Sch. of Bus. Adm., Northeastern Univ.

fYear

2006

fDate

5-7 Oct. 2006

Firstpage

348

Lastpage

353

Abstract

Aiming at the condition that existing information aggregation operators neglect the density degree of attribute information distribution, the theories and a method of one-dimensional clustering are introduced in the work. On the basis of above theories, the density weighted averaging (DWA) middle operator is developed. Composite operators composed of the DWA and other five existing operators give attention to manifold operators´ characteristics. A final example is used to testify some novel characteristics of the DWA and composite operators

Keywords

decision making; mathematical operators; operations research; pattern clustering; set theory; composite operator; data clustering; density weighted averaging middle operator; information aggregation operator; information distribution; multiattribute decision making; Arithmetic; Artificial intelligence; Clustering methods; Data analysis; Decision making; Fuzzy systems; Information analysis; Multidimensional systems; Open wireless architecture; Testing; Multiattribute decision making; One-dimensional clustering; The density weighted averaging middle operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on

Conference_Location

Lille

Print_ISBN

7-5603-2355-3

Type

conf

DOI

10.1109/ICMSE.2006.313839

Filename

4104922