Has been design to have an easy integration with any knowledge based system that need this kind of representation and reasoning. Imprecision and uncertainty present in complex domains as the medical one. Moreover, being based onįTCN (fuzzy temporal constraint networks), the proposed model also allows us to capture both temporal In this paper we propose the use of a generic temporal reasoner, FuzzyTIME, which is able to represent both points and intervals, as well as relations, including quantitative and qualitative ones, through a specifically designed language.
Proposed for time representation and management. This is particularly evident in the field of medicine, in which the temporal distribution of symptoms is crucial for understanding the evolution of diseases. The need to represent and manage time is implicit in To do so, we use a documented real case of a possible infection of H5N1 between humans,Īnd formally substantiate the medical evidence. The aim of this paper is to demonstrate how temporal reasoning techniques can assist in the analysis ofĮpidemiological data to determine the possibility of contagion among humans of the avian influenza Palacios cĭepartment of Languages and Systems, Computer Science Faculty, University of Murcia, Spainĭepartment of Information and Communication Engineering, Computer Science Faculty, University of Murcia, Spain Journal homepage: Avian influenza: Temporal modeling of a human to human transmission case Expert Systems with Applications 38 (2011) 8865–8885Ĭontents lists available at ScienceDirect
0 kommentar(er)
