An object-oriented framework for virtual diagnosis.

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Author(s): MASSRUHA, S. M. F. S.; DUTRA, J. P.; CRUZ, S. A. B. da; SANDRI, S.; WAINER, J.; MORANDI, M. A. B.

Summary: This paper presents an object-oriented approach to support, on the web, an integrated framework for diagnosis, investigation and treatment of disorders (diseases, computer faults, etc). In this framework, called Fuzzy Covering Theory (FCT), the knowledge is basically modeled through causal associations between objects and inference is abductive. In this new approach, it was necessary to specify the classes model using object - oriented methodology and the knowledge base model that was a flat file in Prolog. These models are discussed in this paper as well as the advantages and limitations of this new approach.

Publication year: 2007

Types of publication: Paper in annals and proceedings

Unit: Embrapa Digital Agriculture

Keywords: Abductive inference, Aplicação web, Corn diseases, Diagnose, Diagnosis, Diagnóstico, Fuzzy logic, Knowledge discovery, Lógica difusa, Predictions, Text mining, Web application

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