Extending semantics of relational operators for vague queries

Lee, Do Heon; Kim, Myoung Ho

doi:10.1016/0165-6074(93)90080-5

Cited by 1 publication

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“…The application of fuzzy set theory to relational data models is one major shift in addressing the vagueness in the data and the query specification. The research in this direction includes extensions to SQL to facilitate vague queries on relational databases [1], [2], [7], functional dependencies in fuzzy relational data models [8], fuzzy extensions to relational calculus and relational algebra [4], [5], [6], [9], [12], and a logic based approach to the fuzzy relational databases to deal with various forms of fuzziness and a domain calculus based fuzzy query language [3], [11]. Complexity normally arises from uncertainty in the form of ambiguity.…”

Section: Introductionmentioning

confidence: 99%

Novel Model for the Computation of Linguistic Hedges in Database Queries

vanniappan¹

2011

African Journal of ICT

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Most query languages are designed to retrieve information from databases containing precise and certain data using precisely specified commands. Due INTRODUCTIONIn many query situations, the databases contain precise and certain data. The queries on such data are also need to be precisely and certainly expressed. However, in recent years, the development in various kinds of data repositories has paved the way to new potentials as to data querying. The application of fuzzy set theory to relational data models is one major shift in addressing the vagueness in the data and the query specification. Complexity normally arises from uncertainty in the form of ambiguity. The computerized system is not capable of addressing complex and ambiguous issues. However, the human have the capacity to reason "approximately". As a result, human, when interacting with the database, want to make complex queries that have a lot of vagueness present in it. The traditional tools used for computing, are crisp, deterministic and certain in nature. Here certainty indicates that the structures and parameters of the model to be definitely known. But in real situations, these are not crisp and deterministic and therefore, cannot be described precisely. The techniques based on the fuzzy set theory are very much useful while modeling the uncertainties especially, when the uncertainties are non-random in nature. The proposed model will perform the necessary translation, by acting as a middleware. Main aim of this

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Section: Introductionmentioning

confidence: 99%

Novel Model for the Computation of Linguistic Hedges in Database Queries

vanniappan¹

2011

African Journal of ICT

View full text Add to dashboard Cite

show abstract

Extending semantics of relational operators for vague queries

Cited by 1 publication

References 9 publications

Novel Model for the Computation of Linguistic Hedges in Database Queries

Novel Model for the Computation of Linguistic Hedges in Database Queries

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