以R语言为基础的改进QSIM算法实现  

Improved QSIM Algorithm Based On R Language

作　　者：赵逸蕊 唐胜利[1] ZHAO Yi-rui;TANG Sheng-li(School of Energy and Power Engineering of Chongqing, Chongqing 400044)

机构地区：[1]重庆大学能源与动力工程学院

出　　处：《新型工业化》2019年第4期78-82,共5页The Journal of New Industrialization

摘　　要：在定性仿真理论中QSIM 理论逻辑清晰简单且适用范围较广,能够根据系统的初始状态推导出可能的后续行为状态。本文将QSIM 算法进行了初步改进,结合R 语言开发了一个定性仿真程序系统,推导定性行为且构建状态树图形,并提供了一个实例来验证该程序系统。QSIM algorithm, one of qualitative simulation, has simple logic and can be widely applicable which can deduce the possible subsequent behavior state according to the initial state of the system. QSIM algorithm is preliminarily improved in this paper by combining with R language. Qualitative behaviors are derived and state tree graphs are constructed. Besides, an example is provided to verify this program system.

关 键 词：定性仿真 QSIM 算法 R 语言 程序 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]