Semantic measure of fuzzy data in extended possibility-based fuzzy relational databases

Z. M. Ma; W. J. Zhang; W. Y. Ma

doi:10.1002/1098-111X(200008)15:8<705::AID-INT2>3.0.CO;2-4

Semantic measure of fuzzy data in extended possibility-based fuzzy relational databases

Z. M. Ma
, W. J. Zhang
, W. Y. Ma

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

38 Citations (Scopus)

Abstract

In this paper, we propose notions of equivalence and inclusion of fuzzy data in relational databases for measuring their semantic relationship. The fuzziness of data appears in attribute values in forms of possibility distribution as well as resemblance relations in attribute domain elements. An approach for evaluating semantic measures is presented. With the proposal, one can remove fuzzy data redundancy and define fuzzy functional dependency.

Original language	English
Pages (from-to)	705-716
Journal	International Journal of Intelligent Systems
Volume	15
Issue number	8
DOIs	https://doi.org/10.1002/1098-111X(200008)15:8<705::AID-INT2>3.0.CO;2-4
Publication status	Published - Aug 2000

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title = "Semantic measure of fuzzy data in extended possibility-based fuzzy relational databases",

abstract = "In this paper, we propose notions of equivalence and inclusion of fuzzy data in relational databases for measuring their semantic relationship. The fuzziness of data appears in attribute values in forms of possibility distribution as well as resemblance relations in attribute domain elements. An approach for evaluating semantic measures is presented. With the proposal, one can remove fuzzy data redundancy and define fuzzy functional dependency.",

author = "Ma, \{Z. M.\} and Zhang, \{W. J.\} and Ma, \{W. Y.\}",

year = "2000",

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AU - Zhang, W. J.

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N2 - In this paper, we propose notions of equivalence and inclusion of fuzzy data in relational databases for measuring their semantic relationship. The fuzziness of data appears in attribute values in forms of possibility distribution as well as resemblance relations in attribute domain elements. An approach for evaluating semantic measures is presented. With the proposal, one can remove fuzzy data redundancy and define fuzzy functional dependency.

AB - In this paper, we propose notions of equivalence and inclusion of fuzzy data in relational databases for measuring their semantic relationship. The fuzziness of data appears in attribute values in forms of possibility distribution as well as resemblance relations in attribute domain elements. An approach for evaluating semantic measures is presented. With the proposal, one can remove fuzzy data redundancy and define fuzzy functional dependency.

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U2 - 10.1002/1098-111X(200008)15:8<705::AID-INT2>3.0.CO;2-4

DO - 10.1002/1098-111X(200008)15:8<705::AID-INT2>3.0.CO;2-4

M3 - RGC 21 - Publication in refereed journal

SN - 0884-8173

VL - 15

SP - 705

EP - 716

JO - International Journal of Intelligent Systems

JF - International Journal of Intelligent Systems

IS - 8

ER -

Semantic measure of fuzzy data in extended possibility-based fuzzy relational databases

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