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

セッションID: FR-D2-3

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

会議情報

主催: Japan SOciety for Fuzzy Theory and intelligent informatics

共催: 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

著者情報

キーワード: Pattern Analysis, Subcontractors of Construction Companies, Fuzzy TAM Network

会議録・要旨集フリー

詳細

抄録

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.

責任著者(Corresponding author)

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