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A Note on Size Reduction of the Objective Functions Matrix in Vector Maximum Problems

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 177))

Abstract

In vector maximum problems among the given objective functions may be some which do not influence the set of all efficient solutions. Deleting such objectives the matrix of the corresponding coefficients is reduced in size. Working with the size reduced matrix saves computer time when eg. a compromise solution is to be determined. A straightforward method is described how to determine at least a part of the deletable objective functions.

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References

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© 1980 Springer-Verlag Berlin Heidelberg

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Gal, T. (1980). A Note on Size Reduction of the Objective Functions Matrix in Vector Maximum Problems. In: Fandel, G., Gal, T. (eds) Multiple Criteria Decision Making Theory and Application. Lecture Notes in Economics and Mathematical Systems, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48782-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-48782-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-09963-5

  • Online ISBN: 978-3-642-48782-8

  • eBook Packages: Springer Book Archive

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