Extensions of TOPSIS for multi-objective large-scale nonlinear programming problems

In this paper, we focus on multi-objective large-scale nonlinear programming (MOLSNLP) problems with block angular structure. We extend technique for order preference by similarity ideal solution (TOPSIS) approach to solve (MOLSNLP) problems. Compromise (TOPSIS) control minimizes the measure of dist...

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Vydáno v:	Applied mathematics and computation Ročník 162; číslo 1; s. 243 - 256
Hlavní autoři:	Abo-Sinna, Mahmoud A., Amer, Azza H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY Elsevier Inc 04.03.2005 Elsevier
Témata:	Compromise (satisfactory solution) Exact sciences and technology Fuzzy set theory Large-scale systems Logic and foundations Mathematical analysis Mathematical logic, foundations, set theory Mathematics Measure and integration Multi-objective decision making Negative ideal solution Numerical analysis Numerical analysis. Scientific computation Positive ideal solution Sciences and techniques of general use Set theory Negative ideal solution Fuzzy set theory Large-scale systems Compromise (satisfactory solution) Positive ideal solution Multi-objective decision making Two dimensional space Decision making Large system Nonlinear problems Non linear programming Similarity solution Numerical analysis Applied mathematics Positive solution Set theory Two-dimensional calculations Large scale system
ISSN:	0096-3003, 1873-5649
On-line přístup:	Získat plný text
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