×

The notion of H-IFS: an approach for enhancing the OLAP capabilities in Oracle10g. (English) Zbl 1221.68080

Summary: Query answering requirements for a knowledge-based treatment of user requests led us to introduce the concept of closure of an intuitionistic fuzzy set over a universe that has a hierarchical structure. We recommend the automatic analysis of queries according to concepts defined as part of knowledge-based hierarchies to guide the query answering as part of an integrated database environment with the aid of hierarchical intuitionistic fuzzy sets (H-IFS). In this paper, based on the notion of H-IFS, we propose an ad hoc utility built on top of Oracle10g that allows us to enhance the query capabilities by providing better, knowledgeable, and optimized answers to user’s requests.

MSC:

68P15 Database theory

Keywords:

query answering
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Lipski, On semantic issues connected with incomplete information databases, ACM Trans Database Syst 4 (3) pp 262– (1979) · doi:10.1145/320083.320088
[2] Zadrozny S Kacprzyk J. Bipolar queries and queries with preferences 2006 415 419
[3] Rice S Roddick JF. Lattice-structured domains, imperfect data and inductive queries 2000 664 674
[4] Bell, Generalized union and project operations for pooling uncertain and imprecise information, Data and knowledge engineering (DKE) 18 pp 89– (1996) · Zbl 0875.68337 · doi:10.1016/0169-023X(95)00029-R
[5] Pasi G Crestani F. Evaluation of term-based queries using possibilistic ontologies 2005
[6] Miyamoto, Fuzzy information retrieval based on a fuzzy pseudothesaurus, IEEE Trans Syst Man Cyberne 16 (2) pp 278– (1986) · doi:10.1109/TSMC.1986.4308950
[7] Rogova, Flexible hierarchies and fuzzy knowledge-based OLAPIn: FSKD 2007 2 pp 7– (2007)
[8] Chountas, On intuitionistic fuzzy sets over universes with hierarchical structures, Notes on Intuitionistic Fuzzy Sets 13 (1) pp 52– (2007)
[9] Rogova, On imprecision intuitionistic fuzzy sets & OLAP-The case for KNOLAP pp 11– (2007)
[10] Chountas, The notion of H-IFS: an approach for enhancing query capabilities in Oracle10g pp 13– (2008)
[11] Pedersen, Multidimensional data modeling for complex data pp 336– (1999)
[12] Gray, Data cube: a relational aggregation operator generalizing group-by, cross-tabs and subtotals, J Data Mining Knowl Dis 1 (1) pp 29– (1997) · doi:10.1023/A:1009726021843
[13] Delgado M Molina C Sanchez D Vila A Rodriguez-Ariza L. A fuzzy multidimensional model for supporting imprecision in OLAP 2004 1331 1336
[14] Chamoni P Stock S. Temporal structures in data warehousing 1999 353 358
[15] Pedersen, A foundation for capturing and querying complex multidimensional data, Inform Syst. 26 (5) pp 383– (2001) · Zbl 0984.68056 · doi:10.1016/S0306-4379(01)00023-0
[16] Mendelzon A Vaisman A. Temporal queries in OLAP 2000 242 253
[17] Chountas, On uncertainty and data-warehouse design 3261 pp 4– (2004)
[18] Eder, Evolution of dimension data in temporal data warehouses 2114 pp 284– (2001) · Zbl 0986.68595
[19] Kimball, The data warehouse toolkit (1996)
[20] Inmon, Building the Data Warehouse Second Edition (1996)
[21] Atanassov, Intuitionistic Fuzzy Sets (1999) · Zbl 0939.03057 · doi:10.1007/978-3-7908-1870-3
[22] Atanassov, Remarks on the Intuitionistic fuzzy sets, Fuzzy Sets and Systems 51 (1) pp 117– (1992) · Zbl 0783.04003 · doi:10.1016/0165-0114(92)90083-G
[23] Kolev, Representation of value imperfection with the aid of background knowledge: H-IFS studies in computational intelligence 109 pp 473– (2008)
[24] Rogova, The notion of H-IFS in data modelling pp 1397– (2008)
[25] Chountas P Atanasov K Rogova E. H-IFS: modelling & querying over hierarchical universes 2008 1628 1634
[26] Silberschatz, Database system concepts (2006) · Zbl 0597.68068
[27] Rundensteiner E Bic L. Aggregates in posibilistic databases 1989 287 295
[28] Szmidt, Distances between intuitionistic fuzzy sets, Fuzzy Sets Syst 114 (3) pp 505– (2000) · Zbl 0961.03050 · doi:10.1016/S0165-0114(98)00244-9
[29] Szmidt, A new concept of similarity measure for intuitionistic fuzzy sets and its use in group decision making 3558 pp 272– (2005) · Zbl 1121.68428
[30] Prade H Dubois D. Handling bipolar queries in fuzzy information processing 2008 97 114
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.