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Modeling and Querying Fuzzy Data: Current Approaches and Future Trends

Modeling and Querying Fuzzy Data: Current Approaches and Future Trends

Li Yan, Z. M. Ma
Copyright: © 2016 |Pages: 29
ISBN13: 9781466687677|ISBN10: 1466687673|EISBN13: 9781466687684
DOI: 10.4018/978-1-4666-8767-7.ch005
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MLA

Yan, Li, and Z. M. Ma. "Modeling and Querying Fuzzy Data: Current Approaches and Future Trends." Handbook of Research on Innovative Database Query Processing Techniques, edited by Li Yan, IGI Global, 2016, pp. 129-157. https://doi.org/10.4018/978-1-4666-8767-7.ch005

APA

Yan, L. & Ma, Z. M. (2016). Modeling and Querying Fuzzy Data: Current Approaches and Future Trends. In L. Yan (Ed.), Handbook of Research on Innovative Database Query Processing Techniques (pp. 129-157). IGI Global. https://doi.org/10.4018/978-1-4666-8767-7.ch005

Chicago

Yan, Li, and Z. M. Ma. "Modeling and Querying Fuzzy Data: Current Approaches and Future Trends." In Handbook of Research on Innovative Database Query Processing Techniques, edited by Li Yan, 129-157. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8767-7.ch005

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Abstract

Imperfect information extensively exists in data and knowledge intensive applications, where fuzzy data play an import role in nature. Fuzzy set theory has been extensively applied to extend various database models and resulted in numerous contributions. The chapter concentrates on two main issues in fuzzy data management: fuzzy data models and fuzzy data querying based on the fuzzy data models. A full up-to-date overview of the current state of the art in fuzzy data modeling and querying is provided in the chapter. In addition, the relationships among various fuzzy data models are discussed in the chapter. The chapter serves as identifying possible research opportunities in the area of fuzzy data management in addition to providing a generic overview of the approaches to modeling and querying fuzzy data.

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