A Qualitative Approach to Interpolative Reasoning in Sparse Rule Base

摘要：

Interpolative reasoning in sparse rule base has been an important research topic in field of system analysis. There are many interpolative methods that have been proposed to solve problem of reasoning in sparse rule base. However,these methods cannot be used to solve effectively such problem when resulting consequences of rulebasearerestricted ina finite set,Le.,so-called FiniteReasoning Problem. To solve effectively such problem, this paper developed a new interpolative reasoning approach and provided its algorithm based on ternary qualitative theory. This approach deduces result consequence by transforming domains of linguistic variables into ternary qualitative spaces and building ternary qualitative function among such spaces as model of system for calculation. By applying the new approach to an example, this paper illustrated that the new approach is moreeffective and simple than the existing interpolative reasoning methods for the Finite Reasoning Problem.

关键词： Qualitative approach interpolative reasoning sparse rule base ternary qualitative epresentation fuzzy set

作者: Jianjun Zhu Shaohua Tan

作者单位: Department of Intelligence Science, Peking University Key Laboratory on Machine Perception, Ministry of Education Beijing, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 711-716

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）