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70年代知识工程的出现与发展,使得不确定性推理成为人工智能领域的研究热点,从而形成了诸如证据理论、可性度理论、模糊推理理论等研究课题.刘叙华首次研究了算子模糊逻辑(见文献[2]),提出了两种模型,即OFL(算子模糊逻辑)和AOFL(结合算子模糊逻辑).陆汝钤指出了OFL和AOFL在证据语义下的不合理(OFL和AOFL是基于可信度语义的),并提出了基于证据语义的算子模糊逻辑EOFL,MOFL和AOFL,本文将其统称为EOFL.本文将介绍EOFL系统及其在证据语义下的合理性.
The emergence and development of knowledge engineering in the 1970s made uncertainty inference a hot topic in the field of artificial intelligence and led to research topics such as evidence theory, reliability theory and fuzzy reasoning theory. For the first time, Liu Xuhua studied the fuzzy logic of operators See [2]), two models are proposed, OFL (Operator Fuzzy Logic) and AOFL (Combining Operator Fuzzy Logic) .Lu Ruyuan points out the irrationality of OFL and AOFL under the semantic evidence (OFL and AOFL are based on Credibility semantics), and put forward fuzzy logic operators EOFL, MOFL and AOFL based on evidence semantics, which are referred to as EOFL in this paper.In this paper, the EOFL system and its rationality under the evidence semantics are introduced.