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respectively. Fuzzy query is interpreted by the parser and the consequent semantic actions are carried out on MySQL database. General Terms. Fuzzy SQL.
International Journal of Computer Applications (0975 – 8887) Volume 4 – No.2, July 2010
Handling Fuzzy SQL on Crisp databases using Lex-YACC Tejas Mehta
Pooja Shah
Nirma University Ahmedabad, India
Nirma University Ahmedabad, India
ABSTRACT Conventional querying language presumes precision and certainty in user queries. But in factual situations the queries may be imprecise and may be desired to result in uncertain outcome. Introducing fuzziness in querying permits the realistic querying on the crisp data. In this paper, we propose the architecture for fuzzy querying along with an experimental implementation of the same. The implementation is using LEX and YACC that facilitate the lexical analysis of fuzzy terms and parsing the fuzzy query respectively. Fuzzy query is interpreted by the parser and the consequent semantic actions are carried out on MySQL database.
General Terms Fuzzy SQL
Keywords Fuzzy database, LEX, YACC,
1. INTRODUCTION Most of today’s database management system consists of the crisp information. The primary goal of the DBMS system is to provide the precise information at the time of retrieval. The conventional database management system does not handle imprecise, incomplete or vague information such as very high, approximately some values. To triumph over this problem, the fuzzy database system has been introduced. In the real world scenario, every time the information we need can not be precisely stated but rather than that there is a need to deal with natural language and retrieving the pertinent information. The paper has been divided in four parts. The essential idea is to extend the SQL to incorporate fuzzy querying. Section 1 and 2 presents introduction and the basics of fuzzy set correspondingly. Section 3 presents fuzzy querying concept. Section 4 describes our system architecture.. Section 5 gives the implementation details and 6 and 7 portray the future enhancements and conclusion respectively.
2. BASIC CONCEPTS: FUZZY SET
Gaussian etc. [10] The various functions are described as. The γ function has two parameters α and β. γ(u; α, β) = 0
