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http://dx.doi.org/10.5391/JKIIS.2006.16.1.086

Pattern Analysis of Core Competency Model for Subcontractors of Construction Companies Using Fuzzy TAM Network  

Kim, Sung-Eun (Department of Industrial Engineering, Kyungnam University)
Hwang, Seung-Gook (Department of Industrial Engineering, Kyungnam University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.1, 2006 , pp. 86-93 More about this Journal
Abstract
The TAM(Topographic Attentive Mapping) network based on a biologically-motivated neural network model is an especially effective one for pattern analysis. It is composed of of input layer, category layer, and output layer. Fuzzy rule, for input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of core competency model for subcontractors of construction companies and show its usefulness.
Keywords
Fuzzy TAM Network; Pattern Analysis; Subcontractors of Construction Companies; Core Competency Model;
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