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Fuzzy Coefficients and Fuzzy Preference Relations in Models of Decision Making

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

Analysis of < X,R > models is considered as part of a general approach to solving a wide class of optimization problems with fuzzy coefficients. This approach consists in formulating and solving one and the same problem within the framework of interrelated models to maximally cut off dominated alternatives. The subsequent contraction of the decision uncertainty region is based on reduction of the problem to multiobjective decision making in a fuzzy environment with applying techniques based on fuzzy preference relations. The results of the paper are of a universal character and are already being used to solve power engineering problems.

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References

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© 2003 Springer-Verlag Berlin Heidelberg

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Ekel, P., Galperin, E., Palhares, R., Campos, C., Silva, M. (2003). Fuzzy Coefficients and Fuzzy Preference Relations in Models of Decision Making. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_33

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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