Stability and accuracy functions for a multicriteria Boolean linear programming problem with parameterized principle of optimality “from Condorcet to Pareto”

A multicriteria Boolean programming problem with linear cost functions in which initial coefficients of the cost functions are subject to perturbations is considered. For any optimal alternative, with respect to parameterized principle of optimality “from Condorcet to Pareto”, appropriate measures o...

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Vydáno v:	European journal of operational research Ročník 207; číslo 3; s. 1497 - 1505
Hlavní autoři:	Nikulin, Yury, Mäkelä, Marko M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 16.12.2010 Elsevier Elsevier Sequoia S.A
Edice:	European Journal of Operational Research
Témata:	Accuracy Applied sciences Boolean Boolean algebra Combinatorial analysis Condorcet optimality Condorcet optimality Pareto optimality Stability and accuracy Multicriteria optimization Cost function Decision theory. Utility theory Exact sciences and technology Flows in networks. Combinatorial problems Linear programming Mathematical analysis Mathematical programming Multicriteria optimization Multiple criteria decision making Norms Operational research and scientific management Operational research. Management science Optimization Parameter optimization Pareto optimality Pareto optimum Perturbation methods Stability Stability and accuracy Studies Pareto optimality Condorcet optimality Multicriteria optimization Stability and accuracy Condorcet effect Boolean programming Pareto optimum Multicriteria analysis Multiobjective programming Linear programming Initial cost Combinatorial optimization Social decision Lexicography Voting Quality control Cost function Optimality principle
ISSN:	0377-2217, 1872-6860
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