.png){kind=icon}
Return
DISTRIBUTIONAL EFFICIENCY IN MULTIOBJECTIVE STOCHASTIC LINEAR-PROGRAMMING
.png){kind=icon}
PRE
AI
DOI：10.1016/0377-2217(94)00037-D.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Several concepts of distributional efficiency are proposed for the Multiobjective Stochastic Linear Programming (MSLP) problem, in contexts where the probability distribution of random parameters is known and the decision maker (DM) has an unknown multi-attribute utility function belonging to a given glass U. We present a general efficient set, the U-admissible solutions, and two subsets, the U-unanimous and U-advocated solutions, the latter being particularly relevant to the case of a single DM. We show how advocated solutions can be generated and/or tested when U is the class of non-decreasing additive concave functions.
Keywords:
EFFICIENCY
MULTIPLE CRITERIA
DECISION
STOCHASTIC PROGRAMMING
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6
Papers:
2.2W
Citations:
6.4W
Organization
No organization information available
Cited Papers
ShareSaveEffects of growing Coptis chinensis Franch in the natural understory vs. under a manmade scaffold on its growth, alkaloid contents, and rhizosphere soil microenvironment.png)
PeerJ
OAAI
PeerJIF0
OAAIShareSave
ShareSaveThe physical mechanical properties evaluation of experimental granulated organic compost fertilizerOAAI
OAAIShareSaveShareSave
View more