To enhance decision-making efficiency of intelligent command and control system in air-defense operation,the experts and specialists experience considered,it is applied fuzzy heuristic rules to improve intelligent command and control system decision-making model of rules and inferential methods.

Compare with others work, this algorithm has been improved in these aspects: in heuristic searching provide a more accurate heuristic rule for estimating the upper limit of revenue; based on the algorithm analysis, restrict the searching space efficiently by two layer dispo.

A method of selecting fuzzy rules based on the clonal selection algorithm;

Extract of fuzzy rules of the increase of Chinese economy based on fuzzy neural networks(part Ⅲ);

An approach of learning fuzzy rules based on learning automata arrays;

New algorithm for VLSI production sequencing problems based on fuzzy rule;

Identification of tea taste signals based on fuzzy rule generation algorithm;

A model fitted in with future price forecasting was established based on genetic algorithm and fuzzy IF-THEN rules.