Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
Advances in Computer Science, Intelligent System and Environment

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

  • 1404 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Maedche, A., Staab, S.: Ontology Learning for the Semantic Web. IEEE Intelligent Systems 16(2), 72–79 (2001)

    Article  Google Scholar 

  2. Sharif, A.M., Irani, Z.: Exploring fuzzy cognitive mapping for IS evaluation. European Journal of Operational Research 173, 1175–1187 (2005)

    Article  Google Scholar 

  3. Papageorgiou, E.I., Groumpos, P.P.: A new hybrid method using evolutionary algorithms to train fuzzy cognitive maps. Applied Soft Computing 5, 409–431 (2004)

    Article  Google Scholar 

  4. Missikoff, M., Navigli, R., Velardi, P.: Integrated Approach for Web Ontology Learning and Engineering. IEEE Computer 35(11), 60–63 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

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

    Guo Li & QiHua Peng

Authors
  1. Guo Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. QiHua Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics

Search

Navigation