Integrating Fuzzy Concepts to Design a Fuzzy Data Warehouse

Authors

  • Kuyunsa Mayu Alain University of Kinshasa, Faculty of Sciences, Regional Center of Doctoral Education in mathematics and Computer Science, Kinshasa, D. R. Congo
  • Kasoro Mulenda Nathanael University of Kinshasa, Faculty of Sciences, Department of Mathematics and Computer Science, Kinshasa, D. R. Congo
  • Mabela Matendo Rostin University of Kinshasa, Faculty of Sciences, Department of Mathematics and Computer Science, Kinshasa, D. R. Congo

Keywords:

Target Attribute, Class Membership Attribute, Membership Degree, Membership Attribute Degree, Fuzzy Classification Table, Fuzzy Membership Table.

Abstract

In this study, we attempt to design a fuzzy data warehouse. The classification elements to design the concerned fuzzy data warehouse are presented through the following tasks: identification of the target attribute, the linguistic terms, attribute of class membership, definition of the functions of membership, degree of attribute membership, definition of table of fuzzy classification and fuzzy membership. From all the above tasks, we present a method allowing to design a fuzzy data warehouse data. What enables us to design, starting from a traditional data warehouse, a fuzzy data warehouse, which takes into account, inaccuracy and other uncertainties inherent in the digital data constituting the data warehouse. The Fuzzy logic enables us to deal with this type of data without affecting the base of this data warehouse.

References

Zadeh, L.A. (1973). The Concept of has Linguistic Variable and its Application to Approximate Reasonning-1, Informations Sciences vol. 8/3, p. 199-249.

Inmon W., Building the datawarehouse, John Wiley & Sounds, 1996.

Kimball R., The Datawerouse Toolkit, John Wiley & Sounds, 1996.

A. KUYUNSA M. , N. Kasoro M. and R. Mabela M., ''Modelling a Structure of a Fuzzy Data Warehouse'', Applied Engineering. Vol. 1, No. 3, 2017, pp. 81-89.

Inmon W., "The operational Dated Blind", 1995, http://www.evaltech.com/wpapers/ODS2.pdf.

[6] Imhoff C., `' The operational Dated Blind: Hammering Away '', DM Review, http://www.dmreview.com, 1998.

Codd E., Codd S., Salley C., Providing OLAP (On-line Analytical Processing) to To use-Analysts: Year IT Mandate, Report, Arbor Software White Paper, 1993.

Pendse N., Creeth R., Database explosion, Carryforward, The OLAP Carryforward, 1995.

[9] Pedersen T. B., Jensen C. S., and Dyreseon C. E. Supporting Imprecision in Multidimensional Databases Using Granularities. International Eleventh Conference one Scientific and Statistical Database Management, 1999.

Inmon W., Building the datawarehouse, John Wiley & Sounds, 1996.

Kimball R., The Datawerouse Toolkit, John Wiley & Sounds, 1996.

Jarke M., Lenzerini M., Vassiliou Y., V assiliadis P., Fundamentals of Data Warehouses, Springer-Verlag, 1998.

Sapir L., A., Shmilovici, and Rokach L. In Methodology for the Design of Fuzzy Data Warehouse has. In Intelligent Systems, 2008. IS' 08. 4th International IEEE Conference, volume 1, 2008.

Inmon W., "The operational Dated Blind", White Paper, www.billinmon.com/library/whiteprs/earlywp/ttods.pdf, 2000.

Codd E., Codd S., Salley C., Providing OLAP (On-line Analytical Processing) to use-Analysts: Year IT Mandate, Report, Arbor Software White Paper, 1993.

L. A. Zadeh. The Concept of has Linguistic Variable and its Applicqation to Approximate Reasoning – Part I. Information Science, (8): 199-249, 1975.

D. Harel and B Rumpe. Meaningful Modeling: What' S the Semantics of "Semantics"? Computer, 37(10):64 – 72, October 2004.

Ralph Kimball and Joe Caserta. The Dated Warehouse LTE Toolkit. Wiley Publishing, Inc, 2004.

K. V. N. N. Pavan Kumar, P. Radha Krishna, and Supriya Kumar Of. Fuzzy OLAP Cubes for Qualitative Analysis. In Intelligent Sensing and Processing information, pages 290 –295, 2005.

Heiko Schepperle, Andreas Merkel, and Alexander Haag. Erhalt von Imperfektion in einem Dated Warehouse. International Symposium: Dated Warehouse-system und Knowledge-Discovery, 2004.

Vassiliadis P., Sellis T., `' A survey of logical Models for OLAP Databases '', SIGMOD Record, vol. 28, n°4, 1999.

C. haudhuri S., Dayal U., `' An overview of Data Warehousing and OLAP Technology '', ACM SIGMOD record, vol. 26, n°1, p. 517-526, March 1997.

Balaschka M., Sapia C., Hofling G., Dinter B., `' Finding you way through Multidimensional Dated Models '', Proc. International workshop one Dated Warehouse Design and OLAP Technology (DWDOT, in connection with DEXA), Vienna, Austria, p. 198-203, 1998.

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Published

2017-10-14

How to Cite

Alain, K. M., Nathanael, K. M., & Rostin, M. M. (2017). Integrating Fuzzy Concepts to Design a Fuzzy Data Warehouse. International Journal of Computer (IJC), 27(1), 112–132. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1072

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