For the characteristics of the blending and sintering in an iron and steel enterprise, ingredient prediction models based on mathematical models and neural networks are established, expert rules used to adjust the percentages is constructed, and a percentages optimization and computational algorithm is proposed.

This paper, based on the characteristics of Unit commitment (UC) problem, establishes a set of heuristic expert rules to determine the priority list, the serial number of each selected based unit,the total number of generation unit, and to regulate the generation plan for meeting the minimum up/down time limits of units.

A new optimal method which combines Lagrangian decomposition - coordination and expert rules to solve UCP is proposed.

A novel method of evolutionary multi-objective optimization with expert rules was prop- osed.

Presetting values of control loops are given by presetting model according to production target and change of working conditions,and corrected by revising model based on expert rules according to change of working conditions,so online automatic adjustment of control loop setting values was realized.

The Design and Realization of Expert Assess System based on FAHP;