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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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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2006
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/23966 |
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I19-R120-10915-23966 |
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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 |
work_keys_str_mv |
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bdutipo_str |
Repositorios |
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1764820466435883009 |