Abstract: Such drawbacks of CA as probably being invalid under some conditions,having not enough ability to well reflect inherent relations of complex systems,and not considering the inaccurate characteristic of evaluations given by valuators,are pointed out. To overcome the three drawbacks,according to the thought of the meta-synthesis from qualitative analysis to quantitative analysis of complex system theory, and based on the theory of the technique of fuzzy neural network,the improved CA based on FNN is presented. The distinguished advantages of the presented approach lie in that it can well capture inherent reladons of complex systems,and thus it is a general approach. The results of numerical demonstration analysis show that the rank of evaluated objects got by the developed approach is much closer to the real,and proves to be more reasonable than the classical CA.

Key words: conjoint analysis, fuzzy neural network, linguistic information, system mechanism