A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with these uncertainty kno...

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Autores principales: Wen, Jiwen, Li, Daoliang, Zhu, Wei, Fu, Zetian
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23966
Aporte de:
id I19-R120-10915-23966
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
fish-disease diagnosis
parsimonious covering theory
fuzzy set theory
Expert system tools and techniques
spellingShingle Ciencias Informáticas
fish-disease diagnosis
parsimonious covering theory
fuzzy set theory
Expert system tools and techniques
Wen, Jiwen
Li, Daoliang
Zhu, Wei
Fu, Zetian
A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
topic_facet Ciencias Informáticas
fish-disease diagnosis
parsimonious covering theory
fuzzy set theory
Expert system tools and techniques
description There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with these uncertainty knowledge’s representation and reasoning. In this paper, the well-developed parsimonious covering theory capable of handling randomicity knowledge is extended. A fuzzy inference model capable of handling fuzzy knowledge is proposed, and the corresponding algorithms based the sequence of obtaining manifestations are provided to express imperfection knowledge. In the last, the model is proved to be effective and practicality through a set of fish-disease diagnostic cases
format Objeto de conferencia
Objeto de conferencia
author Wen, Jiwen
Li, Daoliang
Zhu, Wei
Fu, Zetian
author_facet Wen, Jiwen
Li, Daoliang
Zhu, Wei
Fu, Zetian
author_sort Wen, Jiwen
title A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
title_short A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
title_full A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
title_fullStr A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
title_full_unstemmed A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
title_sort new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/23966
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