An architecture for a deductive Fuzzy Relational Database

Autor:	Juan C. Cubero, Juan Miguel Medina, María Amparo Vila Miranda, O. Pons
Rok vydání:	1996
Předmět:	SQL Information retrieval Fuzzy classification Computer science Relational database Programming language Deductive database computer.software_genre Fuzzy logic Relational calculus Relational database management system Relational model computer computer.programming_language
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540612865 ISMIS
DOI:	10.1007/3-540-61286-6_173
Popis:	This paper reports on the architecture of a Fuzzy Relational DBMS (FRDBMS) with deduction capabilities, whose main characteristics are: 1) It is built on the basis of a theoretical model for fuzzy relational databases and a theoretical model for logic fuzzy databases; 2) It is implemented entirely on classical RDBMS, using their resources; 3) It conserves all the operations of the host RDBMS and gives them more power, adding new capabilities for dealing with ”fuzzy” and ”intensive” information; 4) It provides a deductive fuzzy language, DFSQL, and a processor which permits the translation of each DFSQL statement into one or more SQL statements, which can be used by the host RDBMS; 5) It offers a relational representaion of the rules that define an intensive table, in such a way that all necessary information to perform deduction is stored in tables. 6) This system needs to interact with a deduction module which performs the computation of intensive tables.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::eb5c7cdd5c0a47cd439dbeac4e6f8df6 https://doi.org/10.1007/3-540-61286-6_173 Zobrazit plný text záznamu