Fuzzy Minimum Interval Partition for Uncertain Time Interval


The KIPS Transactions:PartD, Vol. 9, No. 4, pp. 571-578, Aug. 2002
10.3745/KIPSTD.2002.9.4.571,   PDF Download:

Abstract

In temporal database, extended time dimension for history management brings about complexity of join operation and increased cost. To solve this problem, a method that joins the divided segment time data after partition the time range into fixed time interval is introduced. But existing methods can't solve the ambiguity problem of time border that caused by temporal granularity in the partition point. In this paper, We suggested Fuzzy Minimum Interval Partition (FMIP) method that introduced the possibility distribution of fuzzy theory considered uncertainty time interval border in the partition line.


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Cite this article
[IEEE Style]
K. H. Ryu, M. H. Huh, K. K. Lee, J. W. Lee, H. G. Kim, "Fuzzy Minimum Interval Partition for Uncertain Time Interval," The KIPS Transactions:PartD, vol. 9, no. 4, pp. 571-578, 2002. DOI: 10.3745/KIPSTD.2002.9.4.571.

[ACM Style]
Keun Ho Ryu, Moon Haeng Huh, Kwang Kyu Lee, Jun Wook Lee, and Hong Gi Kim. 2002. Fuzzy Minimum Interval Partition for Uncertain Time Interval. The KIPS Transactions:PartD, 9, 4, (2002), 571-578. DOI: 10.3745/KIPSTD.2002.9.4.571.