华中科技大学学报：自然科学版2011，Vol.39Issue(7)：76-79,4.
基于置信规则推理的库存控制方法
Belief-rule-based inference method for inventory control
摘要
Abstract
A belief-rule-based （BRB） inference method, which was independent of customer deman distribution, was proposed for inventory control under nonstatonary demand and interval foreeastin demand. Interval forecasting demand was represented in the ER （evidential reasoning） framewor which can deal with various kinds of qualitative and quantitative uncertain information. Domain exper knowledge was used to construct and initialize a belief rule base. Historical demand information can b used to train the belief rule base to get more reliable inference. Compared with traditional methods the feasibility of the BRB inventory control method and its features were illustrated through an aut, 4S inventory-sales example.关键词
专家系统/库存控制/置信规则库/证据推理/不确定性Key words
expert system/inventory control/belief-rule-based/evidential reasoning/uncertainty分类
计算机与自动化引用本文复制引用
李彬,王红卫,杨剑波,郭敏..基于置信规则推理的库存控制方法[J].华中科技大学学报：自然科学版,2011,39(7):76-79,4.基金项目
国家自然科学基金资助项目 （）
国家科技部国际科技交流项目 （）
英国工程与物理科学研究委员会资助项目（EP/F024606/1）. （）
