Multi-Objective Fuzzy Assessment Models and Calculate Method of Assessment Grade
Kai Xü · Journal of Northeastern University · 2001
In order to prevent information from losing,the multi objective fuzzy assessment should use weight average operator. Fuzzy synthetic assessment model by using of cosine function and triangle subordinated function was discussed. So did the fuzzy pattern recognition model based on least square sum of weigh generalized distance and the influence of the fuzzy pattern cognition model on the assessment result fuzzy degree based on least sum of fuzzy entropy and weigh generalized distance. Model of attribute recognition pattern theory is fuzzy comprehensive assessment model of application triangle subordinated function. Calculation method of multi objective fuzzy assessment grade was summarized. Believing degree criterion of attribute recognition theory can result in the distortion of assessment results. The concept and calculated method of assessment grade fuzzy characteristic quantity were put forward. The result of multi objective fuzzy assessment is not a definite point but a grade region. Examples show that assessment grade defined by concept and calculated method based on assessment grade fuzzy characteristic quantity accords with practice.