Inverse approximate reasoning: maximize entropy

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527781

E. Eslami, J. Buckley

引用次数: 0

Abstract

We consider the problem of given the conclusion of a fuzzy rule, find in some sense the "best" data (input) that will produce the given conclusion. In this paper we investigate the use of the principle of maximum entropy to solve this problem.

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逆近似推理:最大熵

我们考虑给定模糊规则结论的问题，在某种意义上找到将产生给定结论的“最佳”数据(输入)。在本文中，我们研究了使用最大熵原理来解决这个问题。

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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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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