Based on rough logic, theorems is presented, whether attribute reduction and minimal decision algorithm change or not when a new instance is added to the universe.

Aiming at the problem that complete algorithm of attribute reduction based on discernibility matrix can not find approximately minimal reduction,an improved attribute reduction method is proposed based on the original algorithm,and the attribute importance defined from the viewpoint of information theory is regarded as heuristic information.

A complete algorithm for attribute reduction in rough set theory based on discernibility matrix was introduced.

Based on analyzed the reason of this,an improved complete algorithm is presented.

Research on decision-making algorithm of offensive players’behavior in football match

A decision-making algorithm based on class algorithms is provided by which many ruleless and random data can be classified.

Aiming at this problem,multi-sensor data fusion algorithm and minimum risk decision-making algorithm are studied to meet the needs of HVAC system to make a reasonable decision-making.

An adaptation decision algorithm was also presented which was realized by retaining most of the higher quality layers, and dropping lower quality layers as far as possible.

Then,according to the features of the generalized information table,the algorithms of acquiring minimal attribute reduction,attribute value reduction and minimum decision algorithm are put forward.

It includes a behavior-based two-layer dynamic agent architecture, a behavior-based decision algorithm, and a role-based dynamic multi-agent cooperation model.