Uncertain random goal programming

Goal programming provides an efficient technique to deal with decision making problems with multiple conflicting objectives. This paper joins the streams of research on goal programming by providing a so-called uncertain random goal programming to model the multi-objective optimization problem invol...

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Bibliographic Details
Published in:	Fuzzy optimization and decision making Vol. 17; no. 4; pp. 375 - 386
Main Author:	Qin, Zhongfeng
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2018 Springer Nature B.V
Subjects:	Artificial Intelligence Calculus of Variations and Optimal Control; Optimization Decision making Goal programming Mathematical Logic and Foundations Mathematics Mathematics and Statistics Multiple objective analysis Operations Research/Decision Theory Optimization Parameter uncertainty Probability Theory and Stochastic Processes Random variables Uncertain random goal programming Uncertain random variable Uncertain random programming Goal programming Uncertainty theory
ISSN:	1568-4539, 1573-2908
Online Access:	Get full text
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Summary:	Goal programming provides an efficient technique to deal with decision making problems with multiple conflicting objectives. This paper joins the streams of research on goal programming by providing a so-called uncertain random goal programming to model the multi-objective optimization problem involving uncertain random variables. Several equivalent deterministic forms are derived on the condition that the set of parameters consists of uncertain variables and random variables. Finally, an example is given to illustrate the application of the approach.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	1568-4539 1573-2908
DOI:	10.1007/s10700-017-9277-9