IDENTIFYING RULES MINING FOR OPERATION MODES OF TRANSPORTATION ENTERPRISES BASED ON ROUGH SET THEORY

摘要

In the intelligent forewarning & decision-supporting system for the transportation enterprise management, to identify the operation modes of enterprises intelligently, the operation mode decision table with continuous-valued attributes is set, and the decision table is simplified based on the rough set theory. In the light of the result of attributes simplification, the identification rule of operation modes is retrieved, which is simple in its expression and easily matches the data for identification.