| Title of paper:
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Intuitionistic fuzzy knowledge-based OLAP
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| Author(s):
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| Ermir Rogova
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| HSCS, University of Westminster, Norlhwick Park, HA I 3 TP London, UK
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| Panagiotis Chountas
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| HSCS, University of Westminster, Norlhwick Park, HA I 3 TP London, UK
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| Boyan Kolev
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| CLBME - Bulgarian Academy oj Sciences, Bl. 105, Sofia-1113, Bulgaria
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| Presented at:
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11th ICIFS, Sofia, Bulgaria, 28-30 April 2007
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| Published in:
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Conference proceedings, "Notes on IFS", Volume 13 (2007) Number 2, pages 88—100
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| Download:
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 PDF (8730 Kb, Info)
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| Abstract:
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In this paper we revise the context of "value uncertainty", as part of an OLAP based environment. We present our approach for extending the OLAP model to include treatment of value uncertainty as part of a multidimensional model inhabited by flexible data and non-rigid hierarchical structures of organization. A new multidimensional-cubic model named as the IF-Cube is introduced which is able to operate over data with imprecision either in the facts or in the dimensional hierarchies.
These query requirements led us to introduce the concept of closure of an intuitionistic fuzzy set over a universe that has a hierarchical structure (H-IFS). Intuitively, in the closure of this intuitionistic fuzzy set, the "kind of relation is taken into account by propagating the degree associated with an element to its sub-elements in the hierarchy. We introduce the automatic recommendation of analysis according to the concepts defined as part of a domain ontology in order to guide the decision making with the aid of H-IFS.
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| References:
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