基于粒计算Rough集模型的逻辑推理应用研究  

Research of Logic Reasoning and Application Based on Granular Computing Rough Set

作　　者：王伟[1] 牛卫红[1] 

机构地区：[1]郑州牧业工程高等专科学校信息工程系,郑州450008

出　　处：《河南科学》2012年第7期895-899,共5页Henan Science

基　　金：河南省高等学校青年骨干教师计划项目(2011GGJS-191)

摘　　要：讨论了粒计算理论信息粒子的构成,结合Rough集知识模型给出了信息决策系统不确定性推理的粒计算公式及其过程.针对水产养殖中鱼病诊断信息的模糊性、随机性等不确定特点,通过鱼病症状集形成条件属性粒子、疾病集形成决策粒子而构成的模糊信息决策表,描述出主要逻辑推理算法,即鱼病诊断的规则获取过程,促进粒计算理论应用,同时也为鱼病诊断领域提供了新方法.In this paper,the information granule constitution of granular computing theory is discussed,the granular computing formula of IS（information system） uncertainty reasoning and its derivation processes have been proposed based on Rough set.The fish disease diagnostic information data are fuzziness,randomness and uncertainty in the field of aquaculture.The logical reasoning algorithms are described using fuzzy decision table,which is composed of the condition attribute granules formed by the fish disease symptom sets and decision granules formed by the fish diseases sets.This method that is acquisition process of fish disease diagnostic rules,not only can promote the development of granular computing theory application,but also provide a new method for fish disease diagnosis.

关 键 词：粒子 粒计算 ROUGH集 鱼病诊断 不确定性 推理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]