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Advances in Computer Science, Intelligent System and Environment pp 431–436Cite as

The Development of the Material Management System Based on Ontology and Fuzzy Cognitive Map

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 106))

Abstract

Fuzzy cognitive map is a knowledge-based methodology suitable to model complex systems and handle information from an abstract point of view. Materials management is an important element in project planning and control. As the foundation of the semantic web, ontology is a formal, explicit specification of a shared conceptual model. The main contribution of this paper is presenting applying fuzzy cognitive maps theory and ontology to construct materials management system. The experiment shows the CPU Time in the attribute numbers, indicating that ontology is superior to fuzzy cognitive map in building materials management system.

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References

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Author information

Authors and Affiliations

  1. Network and Information Center, Qingyuan Polytechnic, Qingyuan, 511510, China

    Guo Li & QiHua Peng

Authors
  1. Guo Li
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  2. QiHua Peng
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, G., Peng, Q. (2011). The Development of the Material Management System Based on Ontology and Fuzzy Cognitive Map. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_69

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  • DOI: https://doi.org/10.1007/978-3-642-23753-9_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23752-2

  • Online ISBN: 978-3-642-23753-9

  • eBook Packages: EngineeringEngineering (R0)

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