Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
Representing and querying XML with incomplete information
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Targeted E-commerce Marketing Using Fuzzy Intelligent Agents
IEEE Intelligent Systems
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Extending object-oriented databases for fuzzy information modeling
Information Systems - Databases: Creation, management and utilization
Incorporating fuzziness in XML and mapping fuzzy relational data into fuzzy XML
Proceedings of the 2006 ACM symposium on Applied computing
ProTDB: probabilistic data in XML
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Fuzzy XML data modeling with the UML and relational data models
Data & Knowledge Engineering
Information Sciences: an International Journal
TempoXML: Nested bitemporal relationship modeling and conversion tool for fuzzy XML
Information Sciences: an International Journal
Formal translation from fuzzy EER model to fuzzy XML model
Expert Systems with Applications: An International Journal
Integrated Computer-Aided Engineering
Extending engineering data model for web-based fuzzy information modeling
Integrated Computer-Aided Engineering
Fuzzy XML and prioritized fuzzy XQuery with implementation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Interest in XML has been growing over the last few years and XML has been the de-facto standard of information representation and exchange over the web. However, the real world is filled with imprecision and uncertainty. Classical databases have been extended to deal with imprecise and uncertain data. In this paper, we investigate how to incorporate fuzzy data into XML. We identify multiple granularity of data fuzziness in XML. Based on possibility distribution theory, we have possibilities associated with elements as well as attribute values of elements in XML. A fuzzy XML data model that addresses all of the fuzziness is developed based on XML Schema.