ECAI 2004 Conference Paper

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A Fuzzy Approach to Temporal Model-Based Diagnosis

José Palma, José M. Juárez, Roque Marín, Manuel Campos

In Intensive Care Unit (ICU) domain, diseases' temporal evolution and patients' contextual information are critical pieces of knowledge that must be considered in the design of a diagnosis task. The uncertainty, inherent in the description of temporal information associated to diseases, requires a temporal representation and reasoning framework to cope with. This temporal framework has to be flexible enough in order to facilitate its integration in a behavioral model. This paper proposes a Temporal Behavioral Model (TBM) that makes this integration possible and permits the specification of contextual information (that may modified the TBM). A diagnosis process is also proposed. This process uses temporal model based techniques and Fuzzy Temporal Constraints Networks (FTCN) as underlying temporal framework. Some heuristics, which affect not only to the temporal reasoning dimension but also to the causal one, have been designed in order to compute efficiently a solution.

Keywords: temporal behavioral model, diagnosis task, temporal framework, temporal reasoning

Citation: José Palma, José M. Juárez, Roque Marín, Manuel Campos: A Fuzzy Approach to Temporal Model-Based Diagnosis . In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.868-872.


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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).