Pattern Analysis on CoreCompetency Model for Sucontractors of Contruction Companies Using Fuzzy TAM Network

Sung-Eun Kim; Seung-Gook Hwang; Yong-Soo Kim; Isao Hayashi

doi:10.14864/softscis.2006.0.855.0

SCIS & ISIS 2006

Session ID : FR-D2-3

DOI https://doi.org/10.14864/softscis.2006.0.855.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

FR-D2 Pattern Recognition

Pattern Analysis on CoreCompetency Model for Sucontractors of Contruction Companies Using Fuzzy TAM Network

*Sung-Eun Kim, Seung-Gook Hwang, Yong-Soo Kim, Isao Hayashi

Author information

Keywords: Pattern Analysis, Subcontractors of Construction Companies, Fuzzy TAM Network

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

TAM(Topographic Attentive Mapping) network is a biologically-motivated neural network. It is composed of input layer, category layer, and output layer. 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 on core competency model for subcontractors of construction companies and show its usefulness.

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