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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty pp 395–418Cite as

Multiobjective Mathematical Programming with Inexact Data

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Part of the Theory and Decision Library book series (TDLD,volume 6)

Abstract

The our purpose is to present two approaches for the inexact multiobjective programming with inexactness in the criteria, which correspond to the conservative and nonconservative ways for mathematical programming with set coefficients.

Keywords

  • Programming Problem
  • Linear Programming Problem
  • Efficient Point
  • Multiobjective Programming
  • Generalize Linear Programming

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Laboratories of the Department of Economic Cybernetics, Calea Dorobanţi 15–17, 71131, Bucharest, Romania

    I. M. Stancu-Minasian

  2. Territorial Computing Center, Str.Republicii 107, 3400, Cluj-Napoca, Romania

    St. Tigan

Authors
  1. I. M. Stancu-Minasian
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  2. St. Tigan
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Editor information

Editors and Affiliations

  1. Technical University of Poznan, Poznan, Poland

    Roman Slowinski

  2. Faculté Polytechnique de Mons, Mons, Belgium

    Jacques Teghem

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© 1990 Kluwer Academic Publishers

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Stancu-Minasian, I.M., Tigan, S. (1990). Multiobjective Mathematical Programming with Inexact Data. In: Slowinski, R., Teghem, J. (eds) Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty. Theory and Decision Library, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2111-5_20

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  • DOI: https://doi.org/10.1007/978-94-009-2111-5_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7449-0

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