Structure design about fuzzy rule based on context sensitive constraint

Zhang Kejia, Chunsheng Li
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Abstract

In the process of achieving decision by intelligent method, in order to improve accuracy and reliability in using fuzzy rules. We define the C-E Model as the basis, bringing in the semantic restriction function to describe the fuzzy rules tendency. By quantitatively transformating for expert opinions, initializing semantic restriction function for fitting rules. We raise an error-correction method that can correct errors of semantic restriction function. In the process of matching rules,meanwhile, building the fuzzy rules that can be self-adjusted. To use the design idea of frame expression method for reference, in combination with the BRBC Model, the design thought of the frame-fuzzy rules group is adopted, and the design that based on the BRBC-F with semantic restriction is accomplished. In the mean time, a more scientific set of calculation method for the structure coincidence is brought out. On this account, to excavate experts'profund cognition and the potential experience. Lower the impact of specialized knowledge, improve the refined fuzzy sets computation. Finally, in combination with certain Production Plant of Daqing Oilfield, utilizing the BRBC-F to accomplish the expert knowledge design about the diagnose for the broken-down wells.
基于上下文敏感约束的模糊规则结构设计
在用智能方法实现决策的过程中,为了提高决策的准确性和可靠性,采用模糊规则。以C-E模型为基础,引入语义约束函数来描述模糊规则倾向。通过对专家意见进行定量变换,初始化语义约束函数进行规则拟合。提出了一种纠错方法,可以对语义限制函数的错误进行纠错。同时,在匹配规则的过程中,构建可自调整的模糊规则。为借鉴框架表达法的设计思想,结合BRBC模型,采用框架模糊规则组的设计思想,完成了基于BRBC- f的带有语义约束的设计。同时,提出了一套较为科学的结构符合度计算方法。为此,挖掘专家的深刻认识和潜在经验。降低了专业知识的影响,提高了精细化模糊集的计算能力。最后,结合大庆油田某采油厂,利用BRBC-F完成了故障井诊断的专家知识设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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