Cross Interacted Algorithm of Multiobjective and Multidimensional Fuzzy Making Decision
Xican Li · Mohu xitong yu shuxue · 2004
The paper has further studied the pattern of multiobjective and multidimensional fuzzy (making) decision, cross interacted algorithm of computing fuzzy making decision recognition matrix and determined objective weight is presented based on the fuzzy objective function with subjective (supervision) factor for objective weight. The cross interacted algorithm makes good use of the (information) concluded both objective potential used data and the experiences of making decision (experts.) It combines the way of objective determining weight with subjective determining, and gives a effective method of determining optimum objective weight and optimum fuzzy making decision (recognition) matrix in the same time. The method presented in this paper is used to evaluate producing level of refining steel enterprises with sixteen factories, the gained result is satisfactory.