Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Modeling “and if possible” and “or at least”: Different Forms of Bipolarity in Flexible Querying Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

4. Bipolarity in Database Querying: Various Aspects and Interpretations

verfasst von : Sławomir Zadrożny, Janusz Kacprzyk

Erschienen in: Flexible Approaches in Data, Information and Knowledge Management

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A crucial problem in database querying is how to devise a query to best reflect the very intentions and preferences of the user. A new line of research in this area aims at taking into account the polarity of preferences what should considerably enhance the functionality and usefulness of flexible database querying systems. Bipolar queries constitute an important concept in this area. They are meant here, in general, as queries involving negative and positive information. In a special, promising interpretation they can be viewed in terms of necessary and possible conditions. The purpose of this paper is to critically analyze, recast in a unified perspective and clarify with respect to conceptual, algorithmic and implementation related aspects of various ways to deal with bipolarity. This should open new perspectives for research and commercial applications of bipolar and related queries which should provide more comprehensive, enhanced and more human consistent querying capabilities.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel A Relational Algebra for Generalized Fuzzy Bipolar Conditions
Nächstes Kapitel On the Top-k Retrieval Problem for Ontology-Based Access to Databases
Literatur
1.
2.
Bordogna, G., Pasi, G.: Linguistic aggregation operators of selection criteria in fuzzy information retrieval. Int. J. Intel. Syst. 10(2), 233–248 (1995)CrossRef
3.
Bosc, P., Galibourg, M.: Flexible selection among objects: A framework based on fuzzy sets. In: Proceedings of the SIGIR Conference, Grenoble, France (1988)
4.
Bosc, P., Galibourg, M., Hamon, G.: Fuzzy querying with SQL: extensions and implementation aspects. Fuzzy Sets Syst. 28, 333–349 (1988)MathSciNetCrossRefMATH
5.
Bosc, P., Kacprzyk, J. (eds.): Fuzziness in Database Management Systems. Physica, Heidelberg (1995)MATH
6.
Bosc, P., Lietard, L.: Quantified statements and some interpretations for the OWA operators. In: Yager, R., Kacprzyk, J. (eds.) The Ordered Weighted Averaging Operators: Theory and Applications, pp. 241–257. Kluwer, Boston (1997)CrossRef
7.
Bosc, P., Lietard, L., Pivert, O.: Quantified statements and database fuzzy querying. In: Bosc, Kacprzyk [5], pp. 275–308
8.
Bosc, P., Lietard, L., Prade, H.: An ordinal approach to the processing of fuzzy queries with flexible quantifiers. In: Hunter, A., Parsons, S. (eds.) Applications of Uncertainty Formalisms, LNAI, vol. 1455, pp. 58–75. Springer, Berlin (1998)CrossRef
9.
Bosc, P., Pivert, O.: Discriminated answers and databases: fuzzy sets as a unifying expression means. In: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 745–752, San Diego, USA (1992)
10.
Bosc, P., Pivert, O.: Fuzzy querying in conventional databases. In: Zadeh, L., Kacprzyk, J.(eds.) Fuzzy Logic for the Management of Uncertainty, pp. 645–671. Wiley, New York (1992)
11.
Bosc, P., Pivert, O.: An approach for a hierarchical aggregation of fuzzy predicates. In: Proceedings of the Second IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’93), pp. 1231–1236, San Francisco, USA (1993)
12.
Bosc, P., Pivert, O.: Flexible queries, discriminated answers and fuzzy sets. In: Proceedings of the Fifth IFSA World Congress, pp. 525–528. Seoul, Korea (1993).
13.
Bosc, P., Pivert, O.: On the evaluation of simple fuzzy relational queries: principles and measures. In: Lowen, R., Roubens, M. (eds.) Fuzzy Logic: State of the Art, pp. 355–364. Kluwer Academic Publishers, Boston (1993)
14.
Bosc, P., Pivert, O.: SQLf: a relational database language for fuzzy querying. IEEE Trans. Fuzzy Syst. 3(1), 1–17 (1995)MathSciNetCrossRef
15.
Bosc, P., Pivert, O.: On three fuzzy connectives for flexible data retrieval and their axiomatization. In: Chu, W.C., Wong, W.E., Palakal, M.J., Hung, C.C. (eds.) SAC, pp. 1114–1118. ACM (2011)
16.
Bosc, P., Pivert, O., Farquhar, K.: Integrating fuzzy queries into an existing database management system: an example. Int. J. Intel. Syst. 9, 475–492 (1994)CrossRef
17.
Bosc, P., Pivert, O., Lietard, L.: Aggregate operators in database flexible querying. In: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), pp. 1231–1234, Melbourne, Australia (2001)
18.
Bosc, P., Pivert, O., Mokhtari, A., Lietard, L.: Extending relational algebra to handle bipolarity. In: Shin, S.Y., Ossowski, S., Schumacher, M., Palakal, M.J., Hung, C.C. (eds.) SAC, pp. 1718–1722. ACM (2010)
19.
De Tré, G., Zadrożny, S., Matthe, T., Kacprzyk, J., Bronselaer, A.: Dealing with positive and negative query criteria in fuzzy database querying. Lect. Notes Comput. Sci. 5822, 593–604 (2009)CrossRef
20.
Dubois, D., Gottwald, S., Hájek, P., Kacprzyk, J., Prade, H.: Terminological difficulties in fuzzy set theory—the case of “intuitionistic fuzzy sets”. Fuzzy Sets Syst. 156(3), 485–491 (2005)CrossRefMATH
21.
Dubois, D., Prade, H.: Twofold fuzzy sets and rough sets—some issues in knowledge representation. Fuzzy Sets Syst. 23, 3–18 (1987)MathSciNetCrossRefMATH
22.
23.
Dubois, D., Prade, H.: Bipolarity in flexible querying. In: Andreasen, T., Motro, A., Christiansen, H., Larsen, H.L. (eds.) FQAS 2002, LNAI, vol. 2522, pp. 174–182. Springer, Berlin (2002)
24.
Dubois, D., Prade, H.: Handling bipolar queries in fuzzy information processing. In: Galindo [28], pp. 97–114
25.
Dubois, D., Prade, H.: An overview of the asymmetric bipolar representation of positive and negative information in possibility theory. Fuzzy Sets Syst. 160(10), 1355–1366 (2009)MathSciNetCrossRefMATH
26.
Dubois, D., Prade, H.: Gradualness, uncertainty and bipolarity: Making sense of fuzzy sets. Fuzzy Sets Syst. 192, 3–24 (2012)MathSciNetCrossRefMATH
27.
Dujmović, J.: Partial absorption function. J. teh Univ. Belgrade EE Dept. 659, 156–163 (1979)
28.
Galindo, J. (ed.): Handbook of Research on Fuzzy Information Processing in Databases. Information Science Reference, New York (2008)
29.
Grabisch, M., Greco, S., Pirlot, M.: Bipolar and bivariate models in multicriteria decision analysis: descriptive and constructive approaches. Int. J. Intel. Syst. 23, 930–969 (2008)CrossRefMATH
30.
Kacprzyk, J.: Fuzzy logic in DBMSs and querying. In: Proceedings of Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, Dunedin, New Zealand, pp. 106–109. IEEE Computer Society Press, Los Alamitos (1995)
31.
Kacprzyk, J., Zadrożny, S.: Fuzzy querying for Microsoft Access. In: Proceedings of the Third IEEE Conference on Fuzzy Systems (FUZZ-IEEE’94), vol. 1, pp. 167–171, Orlando, USA (1994)
32.
Kacprzyk, J., Zadrożny, S.: FQUERY for access: fuzzy querying for a windows-based DBMS. In: Bosc and Kacprzyk [5], pp. 415–433
33.
Kacprzyk, J., Zadrożny, S.: Computing with words in intelligent database querying: standalone and internet-based applications. Inf. Sci. 134(1–4), 71–109 (2001)CrossRefMATH
34.
Kacprzyk, J., Zadrożny, S.: SQLf and FQUERY for access. In: Proceedings of the Conference IFSA/NAFIPS 2001, pp. 2464–2469, Vancouver, Canada (2001)
35.
Kacprzyk, J., Zadrożny, S., Ziółkowski, A.: FQUERY III+: a “human consistent” database querying system based on fuzzy logic with linguistic quantifiers. Inf. Syst. 14(6), 443–453 (1989)CrossRef
36.
Lacroix, M., Lavency, P.: Preferences: putting more knowledge into queries. In: Proceedings of the 13 International Conference on Very Large Databases, pp. 217–225, Brighton, UK (1987)
37.
Matthé, T., De Tré, G., Zadrożny, S., Kacprzyk, J., Bronselaer, A.: Bipolar database querying using bipolar satisfaction degrees. Int. J. Intel. Syst. 26(10), 890–910 (2011)CrossRef
38.
Matthé, T., Tré, G.D.: Bipolar query satisfaction using satisfaction and dissatisfaction degrees: bipolar satisfaction degrees. In: Shin, S.Y., Ossowski, S. (eds.) SAC, pp. 1699–1703. ACM (2009)
39.
Medina, J.M., Pons, O., Miranda, M.A.V.: Gefred: a generalized model of fuzzy relational databases. Inf. Sci. 76(1–2), 87–109 (1994)CrossRef
40.
Tahani, V.: A conceptual framework for fuzzy query processing: a step toward very intelligent database systems. Inf. Proces. Manage. 13(5), 289–303 (1977)CrossRefMATH
41.
Tudorie, C.: Qualifying objects in classical relational database querying. In: Galindo [28], pp. 218–245
42.
Yager, R.: Higher structures in multi-criteria decision making. Int. J. Man Mach. Stud. 36, 553–570 (1992)CrossRef
43.
Yager, R.: Fuzzy logic in the formulation of decision functions from linguistic specifications. Kybernetes 25(4), 119–130 (1996)MathSciNetCrossRefMATH
44.
45.
Zadrożny, S.: Bipolar queries revisited. In: Torra, V., Narukawa, Y., Miyamoto, S. (eds.) Modelling Decisions for Artificial Intelligence (MDAI 2005), LNAI, vol. 3558, pp. 387–398. Springer, Berlin (2005)CrossRef
46.
Zadrożny, S., Kacprzyk, J.: Fuzzy querying using the ’query-by-example’ option in a windows-based DBMS. In: Proceedings of Third European Congress on Intelligent Techniques and Soft Computing EUFIT’95, vol. 2, pp. 733–736, Aachen, Germany (1995)
47.
Zadrożny, S., Kacprzyk, J.: Multi-valued fields and values in fuzzy querying via FQUERY for access. In: Proceedings of the Fifth International Conference on Fuzzy Systems (FUZZ-IEEE’96), vol. 2, pp. 1351–1357, New Orleans, USA (1996)
48.
Zadrożny, S., Kacprzyk, J.: Bipolar queries and queries with preferences. In: Proceeding of the 17th International Conference on Database and Expert Systems Applications (DEXA’06), pp. 415–419. IEEE Computer Society, Krakow, Poland (2006)
49.
Zadrożny, S., Kacprzyk, J.: Bipolar queries using various interpretations of logical connectives. In: Melin, P., Castillo, O., Aguilar, L., Kacprzyk, J., Pedrycz, W. (eds.) Foundations of Fuzzy Logic and Soft Computing, Lecture Notes in Computer Science, pp. 181–190. Springer (2007)
50.
Zadrożny, S., Kacprzyk, J.: Bipolar queries: an approach and its various interpretations. In: Carvalho, J.P., Dubois, D., Kaymak, U., da Costa Sousa, J.M. (eds.) IFSA/EUSFLAT Conference, pp. 1288–1293 (2009)
51.
Zadrożny, S., Kacprzyk, J.: Issues in the practical use of the OWA operators in fuzzy querying. J. Intel. Inf. Syst. 33(3), 307–325 (2009)CrossRef
52.
Zadrozny, S., Kacprzyk, J.: Bipolar queries: an aggregation operator focused perspective. Fuzzy Sets Syst. 196, 69–81 (2012)MathSciNetCrossRefMATH
Metadaten
Titel
Bipolarity in Database Querying: Various Aspects and Interpretations
verfasst von
Sławomir Zadrożny
Janusz Kacprzyk
Copyright-Jahr
2014
Buch
Flexible Approaches in Data, Information and Knowledge Management

Print ISBN: 978-3-319-00953-7

Electronic ISBN: 978-3-319-00954-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-00954-4_4