• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (3): 192-195.

• 论文 • Previous Articles     Next Articles

An Expert System for Acaridida Classification and Indentification Based on Decision Trees

GUO Dongmei,LI Chaopin   

  1. (School of Computer Science and Engineering,Anhui University of
    Science and Technology,Huainan 232001,China)
  • Received:2010-11-01 Revised:2011-04-25 Online:2012-03-26 Published:2012-03-25

Abstract:

It is a complicated and tedious process to classify the mites by means of traditional methods. With the development of artificial intelligence,to design an expert system of classification and identification for Acaroid mites will definitely alter the methods of traditional classification.Through studying the relevant knowledge of taxonomy for the species of Acaroid Mites of Acaridida and expert systems, the characterization for mites and expert systems are combined. This paper applies an objectoriented method,designs and implements an expert system of classification and identification for Acaroid mites based on decision trees.According to the knowledge model of objectoriented decision trees, we propose the record strcture of the knowledge base for Acaroid mites, and design a reasoning mechanism based on decision trees by means of the logic of node objects.The reasoning mechanism realizs the identification of the mites by an inferential strategy. The experimental results prove that the system is of practical value, and satisfies the demand of users.

Key words: acaridida classification and identification;objectoriented;expert