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In order to model the real world with imprecise and uncertain information, various extensions of the classical relational data model have been studied in literature using fuzzy set theory. However, vague set, as a generalized fuzzy set, has more powerful ability to process fuzzy information than fuzzy set. In this paper, we have proposed a vague relational(More)
The traditional relational database model may be extended into a fuzzy database model based on the mathematical framework of fuzzy set theory to process imprecise or uncertain information. While designing such a fuzzy relational database model that does not suffer from data redundancy and anomalies, the present authors have defined several fuzzy normal(More)
Here, we have focused to process inconsistent data through imprecise queries from a database which consists of neutrosophic and vague set. Neutrosophic set is based on truth, indeterminacy and false membership values where as vague set is based on truth and false membership value. Firstly, we have applied two different similarity measure formulas to measure(More)
In the present paper, we have attempted to process indeterminate data through imprecise queries from a database using neutrosophic set which is based on truth, indeterminacy and false membership values. Firstly, we have introduced a similarity measure formula to measure closeness of two neutrosophic data which in turn is used to get the similarity value for(More)
Here we proposed a new approach which is based on Neutrosophic logic to help the patient by taking proper decision through pathological report based analysis. Neutrosophic set is used for uncertain data. Fuzzy data is used to handle incomplete data by only truth value and vague data is applicable for uncertain data by truth and false values. But both are(More)
— This paper introduces a new definition of fuzzy multivalued dependency, called α-fmvd, on the basis of the α-equality of tuples as defined in [1]. Next the definition is shown to be consistent, i.e., it reduces to that of classical multivalued dependency (mvd) when the choice parameter takes the value one. Finally, a set of sound and complete inference(More)
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