Multivalued dependencies in fuzzy relational databases and lossless join decomposition

Jyothi, S.; Babu, M. Syam

doi:10.1016/s0165-0114(96)00071-1

Cited by 18 publications

(20 citation statements)

References 19 publications

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“…Since there is no clear way to verify when the two imprecise values are equal, then the defi nition of functional dependencies must be extended and generalized respectively. This extended / generalized version of the functional dependency is called the fuzzy functional dependency [1,3,5,15,17,[20][21][22]36]. There are several different defi nitions of the fuzzy functional dependency, which are obtained as a result of the use of fuzzy logic in the classical functional dependencies and all such defi nitions of functional dependencies are associated with a given frame in the fuzzy database.…”

Section: Fuzzy Functional Dependenciesmentioning

confidence: 99%

Functional Dependencies Analyse in Fuzzy Relational Database Models

Vučetić

2011

JITA

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This paper presents a literature overview of Fuzzy Relational Database Models with emphasis on the role of functional dependencies in logical designing and modeling. The aim is the analysis of recent results in this fi eld. Fuzzy set theory is widely applied for the classical relational database extensions resulting in numerous contributions. This is because fuzzy sets and fuzzy logic are powerful tool for manilupating imprecise and uncertain information. A signifi cant body of research in effi cient designing FRDM has been developed over the last decades. Knowing the set of functional dependencies, database managers have a chance to normalize the same eliminating redundancy and data anomalies. In this paper we have considered the most important results in this fi eld.

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Section: Fuzzy Functional Dependenciesmentioning

confidence: 99%

Functional Dependencies Analyse in Fuzzy Relational Database Models

Vučetić

2011

JITA

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“…As another example of fuzzy data dependency consider a relation scheme COMPANY(Name, Employees, Sales, Profit) for which an integrity constraint is " if any company has almost equal sales then one set of profits are almost equal and another set of employees are almost equal". This type of compound data constraint can be viewed as fuzzy multivalued dependency [7,8].…”

Section: Fuzzy Data Constraintsmentioning

confidence: 99%

“…We consider the translation rule R s with some modification [7,8] to determine the possibility distribution associated with a compound conditional fuzzy proposition, "If X is F then (Y is G 1 and Z is H 2 ) or (Y is G 2 and Z is…”

Section: Fuzzy Data Constraintsmentioning

confidence: 99%

“…The fuzzy relational databases [7,8,13,14,16] which use the special types of constraints, called dependencies, as a semantic tool for expressing properties of the data like a classical relational databases [2,3,15]. Fuzzy functional dependencies [13,14] and fuzzy multivalued dependencies [7,8] are the most common types of dependencies.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy functional dependencies [13,14] and fuzzy multivalued dependencies [7,8] are the most common types of dependencies. Similar to classical relational database [15], a full utilization of fuzzy multivalued dependencies in the design of fuzzy relational databases requires that fuzzy embedded multivalued dependencies(fEmvds) and fuzzy subset dependencies.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Subset Dependencies

Singaraju¹

2010

IJCA

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The fuzzy relational databases which use the special types of constraints, called dependencies, as a semantic tool for expressing properties of the data like a classical relational databases. Fuzzy functional dependencies(ffd) and fuzzy multivalued dependencies(fmvd) are the most common types of dependencies. Similar to classical relational database, a full utilization of fuzzy multivalued dependencies in the design of fuzzy relational databases requires that fuzzy embedded multivalued dependencies(fEmvd) and fuzzy subset dependencies(fsd). These multivalued dependencies hold in a projection of a relation but not necessarily in the relation itself. The main object of this paper is to extend the concept of Embedded Multivalued Dependency (EMVD) and Subset Dependency (SD) to fuzzy relational database.

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Data dependencies in extended possibility-based fuzzy relational databases

Zhang

et al. 2002

Int. J. Intell. Syst.

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Based on the semantic equivalence degree the formal definitions of fuzzy functional dependencies (FFDs) and fuzzy multivalued dependencies (FMVDs) are first introduced to the fuzzy relational databases, where fuzziness of data appears in attribute values in the form of possibility attributions, as well as resemblance relations in attribute domain elements, called extended possibility-based fuzzy relational databases. A set of inference rules for FFDs and FMVDs is then proposed. It is shown that FFDs and FMVDs are consistent and the inference rules are sound and complete, just as Armstrong's axioms for classic cases.

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Multivalued dependencies in fuzzy relational databases and lossless join decomposition

Cited by 18 publications

References 19 publications

Functional Dependencies Analyse in Fuzzy Relational Database Models

Functional Dependencies Analyse in Fuzzy Relational Database Models

Fuzzy Subset Dependencies

Data dependencies in extended possibility-based fuzzy relational databases

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