Cj. Shih et Ku. Yu, WEIGHT OBJECTIVES STRATEGY IN MULTICRITERION FUZZY MECHANICAL AND STRUCTURAL OPTIMIZATION, Structural engineering and mechanics, 3(4), 1995, pp. 373-382
The weighting strategy has received a great attention and has been wid
ely applied to multicriterion optimization. This gaper examines a glob
al criterion method (GCM) with the weighting objectives strategy in fu
zzy structural engineering problems. Fuzziness of those problems are i
n their design goals, constraints and variables. Most of the constrain
ts are originated from analysis of engineering mechanics. The GCM is v
erified to be equivalent to fuzzy goal programming via a truss design.
Continued and mixed discrete variable spaces are presented and examin
ed using a fuzzy global criterion method (FGCM). In the design process
a weighting parameter with fuzzy information is introduced into the d
esign and decision making. We use a uniform machine-tool spindle as an
illustrative example in continuous design space. Fuzzy multicriterion
Optimization in mixed design space is illustrated by the design of me
chanical spring stacks. Results show that weighting strategy in FGCM c
an generate both the best compromise solution and a set of Pareto solu
tions in fuzzy environment. Weighting technique with fuzziness provide
s a more relaxed design domain, which increases the satisfying degree
of a compromise solution or improves the final design.