摘要
文章依据模糊模式识别和专家系统的基本原理，研制出一类模糊专家系统的判识方法。针对碳酸盐岩复杂沉积环境的诸多不确定现象，首先利用测井数据进行了统计模式识别的初始判识，并利用数值分析方法进行了专家意见阵和知识库的模拟和仿真，在基于Ｚａｄａｎ多维模糊推理的基础上，实现了复杂背景环境中不分明对象的判识。应用于川东石炭系黄龙组碳酸盐岩剖面的测井沉积相判识表明，该系统具有较强的判识能力和实际应用价值。
According to the basic theory of fuzzy model recognition and expert system, this paper develops a recognizing approach to fuzzy expert system. Aiming at many undetermined phenomena existing in the complex sedimentary environment of carbonatite, at first the paper uses log data to make an initiate recognition of the statistic model recognition and uses the value analyzing approach to imitate the experts′ proposition metric and knowledge library, and then, on the basis of Zadan multidimensional fuzzy deduction, implements the recognition of uncertain objects in the complex background environment. The recognizing results applied to log sedimentary facies which has developed from the carbonatite section declare that the method has got better recognizing results.
出处
《成都理工大学学报（自然科学版）》
CAS
CSCD
1998年第S1期65-71,共7页
Journal of Chengdu University of Technology: Science & Technology Edition
关键词
模式识别
专家系统
模糊推理
沉积微相
model
recognition
expert system
fuzzy deduction
sedimentary microfacies
