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The Expected Value of Imperfect Information to Fuzzy Programming

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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Abstract

The paper is concerned with finding the expected value of imperfect information to two-stage fuzzy programming. In this paper we firstly present the definition which is the sum of pairs expected value, then obtain the definition of expected value of imperfect information based on the concept, and discuss its rationality. In addition, several numerical examples are also given to explain the definitions. The results obtained in this paper can be used to fuzzy optimization as we design algorithm to estimate the value of imperfect information.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Physics, Air Force Engineering University, Xi’an, 710051, China

    Mingfa Zheng, Guangxing Kou & Jia Liu

  2. College of Mathematics & Computer Science, Hebei University, Baoding, 071002, China

    Guoli Wang

Authors
  1. Mingfa Zheng
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  2. Guoli Wang
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  3. Guangxing Kou
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  4. Jia Liu
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático,, CINVESTAV-IPN,, A.P. 14-740, Av.IPN 2508,, D.F., 07360,, México, México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, NJ 07030,, Hoboken,, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, 501 E. St. Joseph Street,, SD 57701,, Rapid City,, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Zheng, M., Wang, G., Kou, G., Liu, J. (2009). The Expected Value of Imperfect Information to Fuzzy Programming. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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