利用模糊关系矩阵和遗传算法对观察到的结果进行原因更新

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) Pub Date : 2001-07-25 DOI:10.1109/NAFIPS.2001.944688

A. Rotshtein, H. Rakytyanska

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引用次数: 3

摘要

研究了逆逻辑推理在诊断专家系统中的应用。诊断决策查找需要模糊逻辑方程系统解。针对模糊逻辑方程组的求解问题，提出了基于初始染色体集交叉、变异和选择的遗传优化算法。计算机仿真验证了算法的有效性。所提出的遗传算法可以应用于技术和医疗诊断以及质量控制的专家系统中。

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Renewal of the causes by observed effects by means of fuzzy relations matrix and genetic algorithm

Application of inverse logical inference in diagnostic expert systems is considered. Diagnosis decision finding requires fuzzy logical equation system solutions. The genetic algorithm for optimization based on crossover, mutation and selection of the initial set of chromosomes is proposed for fuzzy logical equation system solving. Computer simulation illustrates the algorithm efficiency. The suggested genetic algorithm can find application in expert systems for technical and medical diagnosis and quality control.

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来源期刊

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)

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