The use of intuitionistic fuzzy cube and operators in treating imprecision in data repositories
Traditional data repositories introduced for the needs of business pro-cessing, typically focus on the storage and querying of crisp domains of data. As a result, current commercial data repositories have no facilities for either storing or querying imprecise/ approximate data.
No significant attempt has been made for a generic and application- independent representation of value imprecision mainly as a property of axes of analysis and also as part of dynamic environment, where poten-tial users may wish to define their “own” axes of analysis for querying either precise or imprecise facts. In such cases, measured values and facts are characterised by descriptive values drawn from a number of dimen-sions, whereas values of a dimension are organised as hierarchical levels.
In this paper, an extended multidimensional model named IF-Cube is put forward, which allows the representation of imprecision in facts and dimensions and answering of queries based on imprecise hierarchical preferences.
R. Kimball, The Data Warehouse Toolkit. New York, John Wiley & Sons, 1996.
S. Chaudhuri, U. Dayal, V. Ganti Database Technology for Decision Support Systems. In: Computer, Vol. 34, p. 48-55, 2001
M. Jarke, Fundamentals of data warehouses. Springer, London, 2002
H. Thomas & A. Datta, A Conceptual Model and Algebra for On-Line Analytical Processing in Decision Support Databases. Information Systems Research 12: pp.83-102, 2001
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.
E. Rogova, P. Chountas, On Imprecision Intuitionistic Fuzzy Sets & OLAP – The Case for KNOLAP, IFSA’07, Springer-Verlag GmBh , Theoretical advances and application of fuzzy logic and soft computing, pp. 11-20
E. Rogova, P. Chountas, B. Kolev, Intuitionistic Fyzzy Knowledge-based OLAP, Notes on Intuitionistic Fuzzy sets, Vol. 13, No.2, ISSN 1310-4926, 2007, pp.88-100
K. Atanassov (1999). Intuitionistic Fuzzy Sets, Springer-Verlag, Heidelberg
K. Atanassov Remarks on the Intuitionistic fuzzy sets. – Fuzzy Sets and Systems, Vol. 51, 1992, No 1, pp.117-118.
Metrics powered by PLOS ALM
- There are currently no refbacks.
Copyright (c) 2016 Dr.Sc. Ermir Rugova
This work is licensed under a Creative Commons Attribution 4.0 International License.