Issue:Intuitionistic fuzzy knowledge-based OLAP

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http://ifigenia.org/wiki/issue:nifs/13/2/88-100

Title of paper: Intuitionistic fuzzy knowledge-based OLAP Author(s): Ermir Rogova HSCS, University of Westminster, Norlhwick Park, HA I 3 TP London, UK Panagiotis Chountas HSCS, University of Westminster, Norlhwick Park, HA I 3 TP London, UK Boyan Kolev CLBME - Bulgarian Academy oj Sciences, Bl. 105, Sofia-1113, Bulgaria Presented at: 11th ICIFS, Sofia, Bulgaria, 28-30 April 2007 Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 13 (2007) Number 2, pages 88—100 Download:  PDF (8730  Kb, File info) Abstract: 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. References: S. Rice, J. F. Roddick: Lattice-Structured Domains, Imperfect Data and Inductive Queries, pp. 664-674, LNCS DEXA 2000 P. Chountas, I. Petrounias: Virtual Integration of Temporal and Conflicting Information, pp. 243-248, IEEE CS Press, IDEAS 2001 "Evaluation of Term-Based Queries Using Possibilistic Ontologies," Soft Computing for Information Retrieval on the Web, E. Herrera-Viedma, G. Pasi, and F. Crestani, eds. Springer-Verlag, 2005. M. Koyuncu, A. Yazici: IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture. IEEE Trans. Knowl. Data Eng. 15(5): pp. 1137-1154, 2003 S. Miyamoto and K. Nakayama, "Fuzzy Information Retrieval Based on a Fuzzy Pseudothesaurus," IEEE Trans. Systems, Man and Cybernetics, vol. 16, no. 2, pp. 278-282, 1986. K., Atanassov Intuitionistic Fuzzy Sets, Springer-Verlag, Heidelberg, 1999 K., Atanassov Intuitionistic fuzzy sets, Fuzzy Sets and Systems, pp 20, 87-96, 1986 C. Dyreson, Information retrieval from an incomplete data cube, VLDB, Morgan Kaufman Publishers, pp. 532-543, 1996. T. Pedersen, C. Jensen, and C. Dyreson, A foundation for capturing and querying complex multidimensional data, Information Systems, vol. 26, pp. 383-483, 2001. H. Thomas & A., Datta, A Conceptual Model and Algebra for On-Line Analytical Processing in Decision Support Databases. Information Systems Research 12: 83-102, 2001 D., Dubois et al. Handling Incomplete or Uncertain Data and Vague Queries in Database Applications, Plenum Press, 1988 H., Prade, Annotated bibliography on fuzzy information processing. Readings on Fuzzy Sets in Intelligent Systems, H. Prade, D. Dubois, and R. Yager, Eds. Morgan Kaufmann Publishers Inc., 1993 Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.