Aggregates in Possibilistic Databases.

Elke A. Rundensteiner, Lubomir Bic: Aggregates in Possibilistic Databases. VLDB 1989: 287-295

@inproceedings{DBLP:conf/vldb/RundensteinerB89,
  author    = {Elke A. Rundensteiner and
               Lubomir Bic},
  editor    = {Peter M. G. Apers and
               Gio Wiederhold},
  title     = {Aggregates in Possibilistic Databases},
  booktitle = {Proceedings of the Fifteenth International Conference on Very
               Large Data Bases, August 22-25, 1989, Amsterdam, The Netherlands},
  publisher = {Morgan Kaufmann},
  year      = {1989},
  isbn      = {1-55860-101-5},
  pages     = {287-295},
  ee        = {db/conf/vldb/RundensteinerB89.html},
  crossref  = {DBLP:conf/vldb/89},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Fuzzy set theory represents a uniform framework for extending the relational database model to handle imprecision of information found in the real world. None of the existing proposals for data models handling imprecision hasdealt with queries involvin aggregate operators. This paper presents a framewor for handling aggregates in the context of imprecise information. Two kinds of aggregates, namely, scalar aggregates and aggregate functions, are being supported. We consider three cases: aggregates within approximate queries on precise data, aggregates within precisely specified queries on possibilisticdata, and aggregates within vague queries on imprecise data. These extensions are based on fuzzy set-theoretical concepts such as the extension principle and the possibilistic expected value.

Copyright © 1989 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

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Peter M. G. Apers, Gio Wiederhold (Eds.): Proceedings of the Fifteenth International Conference on Very Large Data Bases, August 22-25, 1989, Amsterdam, The Netherlands. Morgan Kaufmann 1989, ISBN 1-55860-101-5

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