Fuzzy Disjunctive Temporal Problems with Classes

M. Falda
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Abstract

This paper describes a framework for temporal reasoning that allows managing a restricted form of disjunctive temporal constraints without making the modelled problems intractable as in the case of general DTPs. This is obtained by assigning classes to the constraints and by allowing only one constraint per class, in order to build a collection of independent STPs that can share sub-problems and therefore allows increasing algorithm efficiency. The model proposed is directly applied to fuzzy constraint satisfaction problems and can be solved using an extended fuzzy path-consistency algorithm, also presented in the paper. A simple application to medical diagnosis shows its expressive power over previous tractable temporal reasoning models.
类的模糊析取时间问题
本文描述了一个时间推理框架,该框架允许管理一种有限形式的析取时间约束,而不会像一般dtp那样使建模问题难以处理。这是通过将类分配给约束并且每个类只允许一个约束来获得的,以便构建一个可以共享子问题的独立stp集合,从而允许提高算法效率。该模型可直接应用于模糊约束满足问题,并可采用扩展的模糊路径一致性算法求解。在医学诊断中的一个简单应用表明,它比以前易于处理的时间推理模型表达能力强。
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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