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Cluster‐reliability‐induced OWA operators
Author(s) -
Ma FengMei,
Guo YaJun,
Yi PingTao
Publication year - 2012
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21549
Subject(s) - cluster (spacecraft) , measure (data warehouse) , cohesion (chemistry) , reliability (semiconductor) , grid , operator (biology) , basis (linear algebra) , computer science , mathematics , theoretical computer science , data mining , algorithm , physics , power (physics) , biochemistry , geometry , chemistry , repressor , quantum mechanics , transcription factor , gene , programming language
On the basis of cluster size and cluster cohesion, we propose a generalized cluster‐reliability (CR) measure, which indicates the overall reliability of arguments in a cluster. Taking the reliability of clusters as order‐inducing variables, we introduce a generalized cluster‐reliability‐induced ordered weighted averaging (CRI‐OWA) operator from the viewpoint of combining representative arguments of clusters. Furthermore, we propose a grid‐based cohesion measure for grid‐based clusters. On the basis of this cohesion measure, we obtain the special CR measure and CRI‐OWA operator for the grid‐based clusters. Then we introduced two other special CR measures for graph‐based and prototype‐based clusters, respectively. Taking the CR, computed by these two measures, as order‐inducing variables, we can obtain two other kinds of CRI‐OWA operators for graph‐based and prototype‐based clusters, respectively. © 2012 Wiley Periodicals, Inc.