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On Pseudo-Boolean Multicriteria Optimization Problems with Incomplete Information

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Advances in Multiple Objective and Goal Programming

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 455))

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Abstract

This paper presents a new approach for Intelligent Decision Support Systems (IDSS) development based on the pseudo-Boolean multicriteria optimization with incomplete information for decision making in the complicated, weakly formalized sphere. This approach uses an interactive procedure to form the learning set W = {W 0 ⋃ W 1}, where W 0 contains only Pareto, and W 1 contains only non-Pareto points. This set W is used for inductive learning to approximate the Pareto set.

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References

  1. Zakrevski, A.: Logic of the Recognition. Nauka, Minsk. 1988

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Author information

Authors and Affiliations

  1. Department of Mathematics, Simferopol State University, 4, Yaltinskaya Street, Simferopol, 333036, Crimea, Ukraine

    Vladimir Donskoy & Anna Perekhod

Authors
  1. Vladimir Donskoy
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  2. Anna Perekhod
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Editor information

Editors and Affiliations

  1. Departamento de Economía Aplicada (Matemáticas) Facultad de Ciencias Económicas y Empresariales, University of Málaga, Campus El Ejido s/n, 29071, Málaga, Spain

    Rafael Caballero  & Francisco Ruiz  & 

  2. Faculty of Management Science, University of Georgia, 206 Brooks Hall, 30602-6255, Athens, Georgia, USA

    Ralph Steuer

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© 1997 Springer-Verlag Berlin Heidelberg

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Donskoy, V., Perekhod, A. (1997). On Pseudo-Boolean Multicriteria Optimization Problems with Incomplete Information. In: Caballero, R., Ruiz, F., Steuer, R. (eds) Advances in Multiple Objective and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46854-4_21

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  • DOI: https://doi.org/10.1007/978-3-642-46854-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63599-4

  • Online ISBN: 978-3-642-46854-4

  • eBook Packages: Springer Book Archive

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