Adjustment of japan ' s industria1 structure experience four periods - - the post - - war insta11ation period , the post - - war heavy industria1 ization and chemica1 industrialization period ; high industria1 izat ion after the cri sis of petro1eum period and adjustment of industria1 structure after co1d - - war period . in each period , there is a clear and definite industry po1icy and the main1y supporting profes s ions 日本的产业结构调整大概经历了战后恢复时期、战后的重工业化和化学工业化、石油危机后的产业高度化、冷战后的产业结构调整等四个时期，各阶段有明确的产业政策和重点扶持的行业。
In order to find out a novel fuzzy inference algorithm being superior to cr1 algorithm and a novel fuzzy neural network , the author deduces nine kind of triple i algorithms by nine fuzzy operators . further more , the author compares these algorithms with the ordinary intuitional rules respectively and gives a conclusion that rl - type triple i algorithm is rather more closely to the intuitional rules . because fuzzy neural networks require the conditions of continuous and differential on membership functions of fuzzy sets and fuzzy operators of fuzzy inference , by means of comparison study , the author obtains a conclusion that the fuzzy neural networks with production operator and cr1 inference algorithm are very fit to study the problem of control 为了找出优于cri算法的模糊推理方法和新型模糊神经网络，本文首先对常用九种模糊算子给出了具体三i算法，并从模糊推理的另一个方面，考察了各种算法对日常直观模糊推理规则的贴近程度，得出“ r _ l型三i算法贴近日常直观推理规则”这一结论；同时，考虑到模糊神经网络要求“网络输出保持对模糊算子和隶属函数连续性、可微性”这一特性，通过比较研究，得出利用乘积算子和cri推理的模糊神经网络最适合控制问题。
In past thirty years , fuzzy control is based on cr1 inference algorithm presented by zadeh , which is a composition operation of fuzzy relation and included single inference . from logic semantic , there exists some limitations on the cr1 algorithm , and also the algorithm has not characteristic of reverse 三十多年来，模糊控制常常都是以zadeh提出的cri推理算法进行推理，而cri算法是由模糊关系的复合运算形成的，只含有一层蕴涵关系，而且从逻辑语义角度看， cri算法存在若干缺陷，并且它还不具有还原性。
