Anti-optimization technique - a generalization of interval analysis for nonprobabilistic treatment of uncertainty

Citation
Zp. Qiu et I. Elishakoff, Anti-optimization technique - a generalization of interval analysis for nonprobabilistic treatment of uncertainty, CHAOS SOL F, 12(9), 2001, pp. 1747-1759
Citations number
15
Categorie Soggetti
Multidisciplinary
Journal title
CHAOS SOLITONS & FRACTALS
ISSN journal
09600779 → ACNP
Volume
12
Issue
9
Year of publication
2001
Pages
1747 - 1759
Database
ISI
SICI code
0960-0779(200107)12:9<1747:AT-AGO>2.0.ZU;2-N
Abstract
Anti-optimization technique, on the one hand, represents an alternative and complement to traditional probabilistic methods. and on the other hand. it is a generalization of the mathematical theory of interval analysis. In th is study, in terms of interval analysis or interval mathematics. the arithm etic operations and the partial order relation of anti-optimization techniq ue can be defined, and the convex model variables and the convex model exte nsion function of convex models can also be introduced. The comparison of t he Lagrange multiplier method with the convex model extension method for ev aluating the region of static displacements of structures with uncertain-bu t-bounded parameters shows that the width of the upper and lower bounds on the static displacement yielded by the Lagrange multiplier method of convex models is lighter than those produced by the convex model extension. (C) 2 001 Elsevier Science Ltd. All rights reserved.