Data/hora: 09/05/2024 02:37:07

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	23/07/1996	
Data da última atualização: 	19/12/2007	
Autoria: 	RIBEIRO, B. A. N.; MUNTZ, R.	
Título: 	F-G: A Fuzzy algebra for approximate answering in databases.	
Ano de publicação: 	1995	
Fonte/Imprenta: 	In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS, 10., 1995. Recife. Anais... Recife: UFPe, 1995.	
Páginas: 	p.365-376.	
Idioma: 	Inglês	
Notas: 	SBBD'95. Editado por Décio Fonseca.	
Conteúdo: 	We propose an extended fuzzy algebra called F-G algebra for ranking approximate answers relative to a multiple criteria database query request. Instead of combining the multiple grades of membership into a single number, the F-G algebra creates a list of grades of membership according to the query expression. These lists are then compared to decide the ranking of the corresponding tuples. The main contributions of our research are three. First, the F-G algebra is simple and yet general enough to solve the problem of deciding preferences in the presence of multiple approximate criteria. Second, the algebra is derived from a set of basic axioms which are intuitive and can be easily grasped by the user. Third, the user has the option of stating preference relationships among atribute valuess in qualitative terms (e.g., greater than, lesser than, etc.) and use the F-G algebra to order the set of approximate answer according to these preferences. This last point is important because the user might lind it difficult to express his preferences in numeric terms.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (3582-1) - ADD - PL - -- - 005.74 - SIM - 1995.00010 - DIS