Interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy

► Human preferences drive evolutionary computations for interactive MCDM processes. ► Decision making processes are based on lower and upper bounds on outcomes. ► Evolutionary computations explore regions of feasible and infeasible variants. ► Two evolutionary algorithms are proposed and a numerical...

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Bibliographic Details
Published in:	European journal of operational research Vol. 216; no. 1; pp. 188 - 199
Main Authors:	Kaliszewski, Ignacy, Miroforidis, Janusz, Podkopaev, Dmitry
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 2012 Elsevier Elsevier Sequoia S.A
Subjects:	Accuracy Applied sciences Criteria Decision making Decision theory. Utility theory Evolutionary Evolutionary computations Exact sciences and technology Interactive Multiple criteria analysis Multiple criteria decision making Multiple objective programming Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Preferences Stability Studies Upper bounds Evolutionary computations Multiple criteria analysis Multiple objective programming Lower bound Upper bound Multicriteria analysis Decision making Preference Evolutionary algorithm Multiobjective programming Optimization
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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