arrow
Return

STABILITY IN MULTIOBJECTIVE POSSIBILISTIC LINEAR-PROGRAMS

delete1994-04-01
delete5
PRE
AI
R
Robert C. Fuller *
M
Mario Fedrizzi
DOI:10.1016/0377-2217(94)90216-Xdelete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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.
Keywords:
MULTIOBJECTIVE POSSIBILISTIC LINEAR PROGRAMS (MPLP)
POSSIBILITY THEORY
FUZZY NUMBER
STABILITY
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

European Journal of Operational Research cover
European Journal of Operational Research
IF:
6
Papers:
2.2W
Citations:
6.4W

Organization

No organization information available