Stability in multiobjective possibilistic linear programs

R. Fullér, Mario Fedrizzi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper continues the authors' research in stability analysis in possibilistic programming in that it extends previous results to possibilistic linear programs with multiple objective functions. Namely, we show that multiobjective possibilistic linear programs with continuous fuzzy number coefficients are well-posed, i.e. small changes in the membership function of the coefficients may cause only a small deviation in the possibility distribution of the objective function.

Original languageEnglish
Pages (from-to)179-187
Number of pages9
JournalEuropean Journal of Operational Research
Volume74
Issue number1
DOIs
Publication statusPublished - Apr 7 1994

Fingerprint

Linear Program
Objective function
Possibility Distribution
Small Deviations
Multiple Objectives
Coefficient
Membership functions
Fuzzy numbers
Membership Function
Stability Analysis
Continue
Programming
programming
cause
Linear program
Coefficients
Multiple objectives
Deviation
Stability analysis
Membership function

Keywords

  • Fuzzy number
  • Multiobjective possibilistic linear programs (MPLP)
  • Possibility theory
  • Stability

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Modelling and Simulation
  • Transportation

Cite this

Stability in multiobjective possibilistic linear programs. / Fullér, R.; Fedrizzi, Mario.

In: European Journal of Operational Research, Vol. 74, No. 1, 07.04.1994, p. 179-187.

Research output: Contribution to journalArticle

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