基于区间值相似度集合的区间值近似推理  

Interval-valued approximate reasoning based on interval-valued similarity measured set

作　　者：曾文艺[1] 赵宜宾[1,2] 

机构地区：[1]北京师范大学信息科学与技术学院,北京100875 [2]防灾科技学院基础部,河北三河065201

出　　处：《山东大学学报（工学版）》2013年第2期96-100,共5页Journal of Shandong University（Engineering Science）

基　　金：国家自然科学基金资助项目(10971243)

摘　　要：在引入区间值相似度集合概念的基础上,给出基于区间值相似度集合的区间值近似推理的数学模型,并研究了其相关性质和推理算法,最后通过实例验证其推理算法的可行性与有效性。The interval-valued similarity measure set of interval-valued fuzzy sets was introduced. Based on the interval- valued similarity measure set, the mathematical model of the interval-valued approximate reasoning of interval-valued fuzzy sets, its related reasoning property and its approximate reasoning algorithm were proposed and investigated. Final- ly, one numerical example was used to illustrate the reasonability and effectivity of the proposed algorithm.

关 键 词：区间值模糊集合 区间值相似度集合 区间值模糊关系 区间值近似推理 

分 类 号：C934[经济管理—管理学]