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[医学新视野。“模糊逻辑”在临床和实验医学中的应用]

[New horizons in medicine. The application of "fuzzy logic" in clinical and experimental medicine].

作者信息

Guarini G

出版信息

Recenti Prog Med. 1994 Jun;85(6):335-9.

PMID:8047683
Abstract

In medicine, the study of physiological and physiopathological problems is generally programmed by elaborating models which respond to the principals of formal logic. This gives the advantage of favouring the transformation of the formal model into a mathematical model of reference which responds to the principles of the set theories. All this is in the utopian wish to obtain as a result of each research, a net answer whether positive or negative, according to the Aristotelian principal of tertium non datur. Taking this into consideration, the A. briefly traces the principles of modal logic and, in particular, those of fuzzy logic, proposing that the latter substitute the actual definition of "logic with more truth values", with that perhaps more pertinent of "logic of conditioned possibilities". After a brief synthesis on the state of the art on the application of fuzzy logic, the A. reports an example of graphic expression of fuzzy logic by demonstrating how the basic glycemic data (expressed by the vectors magnitude) revealed in a sample of healthy individuals, constituted on the whole an unbroken continuous stream of set partials. The A. calls attention to fuzzy logic as a useful instrument to elaborate in a new way the analysis of scenario qualified to acquire the necessary information to single out the critical points which characterize the potential development of any biological phenomenon.

摘要

在医学领域,对生理和病理生理问题的研究通常通过构建符合形式逻辑原则的模型来进行规划。这具有利于将形式模型转化为符合集合论原则的参考数学模型的优势。所有这些都基于一种乌托邦式的愿望,即根据亚里士多德的排中律原则,在每项研究中都能得到一个明确的答案,无论其是肯定还是否定。考虑到这一点,作者简要追溯了模态逻辑的原理,特别是模糊逻辑的原理,提议用可能更恰当的“条件可能性逻辑”来替代“具有更多真值的逻辑”这一实际定义。在对模糊逻辑应用的现状进行简要综述之后,作者通过展示在一组健康个体样本中揭示的基本血糖数据(由向量大小表示)总体上如何构成一个不间断的连续集合部分流,给出了一个模糊逻辑图形表达的示例。作者提请注意模糊逻辑,认为它是一种有用的工具,可以以一种新的方式对情景分析进行细化,以获取必要信息,从而找出表征任何生物现象潜在发展的关键点。

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