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| MASSRUHA, S. M. F. S.; SANDRI, S.; WAINER, J.; MORANDI, M. A. B.. |
| The goal of this paper is to give an overview of a general problem-solving framework for diagnosis, investigation and treatment tasks, that incorporates concepts of abductive inference, fuzzy set logic and decision theory. In this work we focus on the use of this framework in agriculture, with an illustration in corn plantations. The general framework models time durations and intensity of manifestations as fuzzy sets, and, in the particular case of agriculture, it takes into account the favorable conditions for the development of a given disorder and the severity of its manifestations to recommend a treatment, together with other important factors such as risk and cost. |
| Tipo: Artigo em anais de congresso (ALICE) |
Palavras-chave: Abductive inference; Fuzzy sets; Diagnóstico. |
| Ano: 2005 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/1021081 |
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| MASSRUHA, S. M. F. S.; DUTRA, J. P.; CRUZ, S. A. B. da; SANDRI, S.; WAINER, J.; MORANDI, M. A. B.. |
| 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. |
| Tipo: Artigo em anais de congresso (ALICE) |
Palavras-chave: Diagnose; Lógica difusa; Aplicação web; Diagnosis; Abductive inference; Web application; Diagnóstico; Fuzzy logic. |
| Ano: 2007 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/2924 |
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