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Diagnosis from Bayesian Networks with Fuzzy Parameters – A Case in Supply Chains

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Advances in Grid and Pervasive Computing (GPC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6104))

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Abstract

Bayesian networks have been widely used as knowledge models in business, engineering, biomedicine, and so on. When a network is learned with incomplete knowledge, the numerical model based on probability theory needs to be extended. This study presents a robust approach for diagnosis from Bayesian networks with fuzzy parameters. A simulation algorithm is designed to answer the queries from the models. The formulation of piecewise linear possibility distribution functions maintain the scalability in exact approaches.

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Author information

Authors and Affiliations

  1. Institute of Networking and Multimedia Technology, National Dong Hwa University, No.1 Sec.2 Da Hsueh Road, Shoufeng, Hualien, 97401, Taiwan, R.O.C.

    Han-Ying Kao & Chiao-Ling Huang

  2. Department of Information Management, Kainan University, No.1 Kainan Road, Luzhu Shiang, Taoyuan, 33857, Taiwan, R.O.C.

    Chia-Hui Huang

  3. National Dong Hwa University Library, No.1 Sec.2 Da Hsueh Road, Shoufeng, Hualien, 97401, Taiwan, R.O.C.

    Chu-Ling Hsu

Authors
  1. Han-Ying Kao
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  2. Chia-Hui Huang
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  3. Chu-Ling Hsu
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  4. Chiao-Ling Huang
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Elettronica e Sistemistica (DEIS), Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Paolo Bellavista

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Ruay-Shiung Chang

  3. Department of Electronic Engineering, National Ilan University, 260, Ilan, Taiwan , Republic of China

    Han-Chieh Chao

  4. National Dong Hwa University, 974, Hualien, Taiwan, Republic of China

    Shin-Feng Lin

  5. Faculty of Science Informatics Institute, University of Amsterdam, 1098, Amsterdam, XG, The Netherlands

    Peter M. A. Sloot

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© 2010 Springer-Verlag Berlin Heidelberg

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Kao, HY., Huang, CH., Hsu, CL., Huang, CL. (2010). Diagnosis from Bayesian Networks with Fuzzy Parameters – A Case in Supply Chains. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_38

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  • DOI: https://doi.org/10.1007/978-3-642-13067-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13066-3

  • Online ISBN: 978-3-642-13067-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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