Extracting Diagnosis Rules of Electric Equipment with Rough Set Theory
Cai Jinyan · Fire Control and Command Control · 2007
To solve the inconsistent problem of extracting diagnosis rules with existing methods and find diagnosis decision rules of good flexibility and capability of the biggest matching,a method of extracting fault diagnosis rules of electronic equipment based on rough set is introduced according to the characteristics of fault symptom.The original data is pre-processed to form a decision table,carries out attributes reduction are achieved with the rough set theory,decision-making rules for extracting diagnosis are given and the rules are evaluated.The method can extract diagnosis rules of certain flexibility which can improve the matching efficiency of diagnosis decision rules in fault diagnosis through the example.