A Novel Ideal Point Method for Uncertain Random Multi-Objective Programming Problem Under PE Criterion

There are two kinds of methods for uncertain random multi-objective programming (URMOP) problem now. One is to convert the URMOP problem into deterministic multi-objective programming (DMOP) problem directly, and then solves the DMOP problem, which neglects the nature of the uncertainty and randomne...

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Vydané v:	IEEE access Ročník 7; s. 12982 - 12992
Hlavní autori:	Qi, Yao, Wang, Ying, Liang, Ying, Sun, Yun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Criteria Equivalence ideal point method Mathematical programming Pareto optimization Probability distribution Programming Random variables SD-IPM SWS-IPM Transforms Uncertain random multi-objective programming Uncertainty Weighting methods WMM-IPM
ISSN:	2169-3536
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