Chapter title | Expressing hierarchical preferences in OLAP queries |
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Authors | Chountas, P., Rogova, E. and Atanassov, K.T. |
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Editors | Kacprzyk, J., Petry, F.E. and Yazici, A. |
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Abstract | OLAP query answering requirements for a knowledge based treatment of user requests led us to introduce the concept of hierarchical preferences over a universe that has a hierarchical structure. We introduce the automatic analysis of queries according to concepts defined as part of knowledge based hierarchy in order to guide the query answering as part of a data-warehouse environment with the aid of hierarchical Intuitionistic fuzzy sets, H-IFS. Based on the notion of H-IFS we propose an ad-hoc utility build on top of current OLAP tools like Oracle10g that allows us to enhance the query capabilities of by providing better and knowledgeable answers to user’s requests. The theoretical aspects as well the practical issues and achieved results are presented throughout the rest of the paper. |
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Book title | Uncertainty approaches for spatial data modeling and processing |
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Year | 2010 |
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Publisher | Springer |
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Publication dates |
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Published | 2010 |
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Place of publication | Berlin Heidelberg |
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Series | Studies in computational intelligence |
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ISBN | 9783642106620 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-10663-7_5 |
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Journal citation | (271), pp. 61-77 |
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