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Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness

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Challenges in Computational Statistics and Data Mining

Part of the book series: Studies in Computational Intelligence ((SCI,volume 605))

Abstract

Database querying is a basic capability to make use of databases that are omnipresent and huge. A crucial problem is how to make possible for an ordinary human user to properly express his intentions and preferences as to what should be searched for. As natural language, with its inherent imprecision, is the only fully natural human means of communication and articulation, this makes difficult the use of traditional binary logic based querying tools. Fuzzy logic can come to the rescue, notably using fuzzy logic with linguistic quantifiers. Such queries, proposed by Kacprzyk and Ziółkowski [24], Kacprzyk et al. [25], have offered much in this context, and will also be used here. While looking for further solutions in this direction, the concept of a bipolar query has been proposed by Dubois and Prade [13], followed by a fuzzy bipolar query due to Zadrożny [36] (cf. Zadrożny and Kacprzyk [40]) involving negative and positive information, notably meant as required and desired conditions. A natural solution consisting in combining these two ideas was proposed conceptually by Kacprzyk and Zadrożny [22], and termed a compound bipolar query. In this paper we further extend this concept mainly by exploring some additional aggregation related aspects of bipolar queries which include fuzzy queries with linguistic quantifiers.

To Professor Jacek Koronacki, a great researcher and scholar, and a long time friend, for his wise support and inspiration.

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References

  1. Benferhat S, Dubois D, Kaci S, Prade H (2002) Bipolar representation and fusion of preferences on the possibilistic logic framework. In: Proceedings of the 8th international conference on principles and knowledge representation and reasoning (KR-02), Morgan Kaufmann, pp 421–448

    Google Scholar 

  2. Benferhat S, Dubois D, Kaci S, Prade H (2002) Bipolar possibilistic representations. In: Proceedings of the 18th conference in uncertainty in artificial intelligence, Morgan Kaufmann, pp 45–52

    Google Scholar 

  3. Benferhat S, Dubois D, Kaci S, Prade H (2006) Bipolar possibility theory in preference modeling: representation, fusion and optimal solutions. Inf Fusion 7:135–150

    Article  Google Scholar 

  4. Benferhat S, Dubois D, Kaci S, Prade H (2008) Modeling positive and negative information in possibility theory. Int J Intell Syst 23:1094–1118

    Google Scholar 

  5. Bordogna G, Pasi G (1995) Linguistic aggregation operators of selection criteria in fuzzy information retrieval. Int J Intell Syst 10(2):233–248

    Article  Google Scholar 

  6. Bosc P, Pivert O (1995) SQLf: a relational database language for fuzzy querying. IEEE Trans Fuzzy Syst 3(1):1–17

    Article  MathSciNet  Google Scholar 

  7. Bosc P, Pivert O (1992) Discriminated answers and databases: fuzzy sets as a unifying expression means. In: Proceedings of the IEEE international conference on fuzzy systems, pp 745–752

    Google Scholar 

  8. Bosc P, Pivert O (1993) An approach for a hierarchical aggregation of fuzzy predicates. In: Proceedings 2nd IEEE international conference on fuzzy systems, pp 1231–1236

    Google Scholar 

  9. Bosc P, Pivert O, Mokhtari A, Lietard L (2010) Extending relational algebra to handle bipolarity. In: Proceedings of the 2010 ACM symposium on applied computing (SAC), ACM, pp 1718–1722

    Google Scholar 

  10. Chomicki J (2002) Querying with intrinsic preferences. LNCS 2287:34–51

    Google Scholar 

  11. De Tré G, Zadrożny S, Bronselaer A (2010) Handling bipolarity in elementary queries to possibilistic databases. IEEE Trans Fuzzy Sets 18(3):599–612

    Article  Google Scholar 

  12. De Tré G, Zadrożny S, Matthe T, Kacprzyk J, Bronselaer A (2009) Dealing with positive and negative query criteria in fuzzy database querying. LNCS 5822:593–604

    Google Scholar 

  13. Dubois D, Prade H (2002) Bipolarity in flexible querying. LNCS 2522:174–182

    Google Scholar 

  14. Dubois D, Prade H Handling bipolar queries in fuzzy information processing, vol. 18, pp 97–114

    Google Scholar 

  15. Dubois D, Prade H (2008) An introduction to bipolar representations of information and preference. Int J Intell Syst 23:866–877

    Article  Google Scholar 

  16. Dubois D, Prade H (2009) An overview of the asymmetric bipolar representation of positive and negative information in possibility theory. Fuzzy Sets and Syst 160:1355–1366

    Article  MathSciNet  Google Scholar 

  17. Fodor J, Roubens M (1994) Fuzzy preference modelling and multicriteria decision support. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  18. Galindo J (ed) (2008) Handbook of research on fuzzy information processing in databases. Information Science Reference, New York

    Google Scholar 

  19. Grabisch M, Greco S, Pirlot M (2008) Bipolar and bivariate models in multicriteria decision analysis: descriptive and constructive approaches. Int J Intell Syst 23:930–969

    Article  Google Scholar 

  20. Kacprzyk J, Zadrożny S (2001) Computing with words in intelligent database querying: standalone and internet-based applications. Inf Sci 134(1–4):71–109

    Article  Google Scholar 

  21. Kacprzyk J, Zadrożny S (1995) FQUERY for access: fuzzy querying for a windows-based DBMS. In: Bosc P, Kacprzyk J (eds) Fuzziness in database management systems. Physica-Verlag, Heidelberg, pp 415–433

    Google Scholar 

  22. Kacprzyk J, Zadrożny S (2013) Hierarchical bipolar fuzzy queries: towards more human consistent flexible queries, professor of FUZ-IEEE’2013, Hyderabad, India, IEEE Explore, pp 1–8

    Google Scholar 

  23. Kacprzyk J, Zadrożny S (2013) Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers. In: Proceedings of EUSFLAT-2013, Atlantis Press, pp 848–855

    Google Scholar 

  24. Kacprzyk J, Ziȯłkowski (1986) A Database queries with fuzzy linguistic quantifiers. IEEE Trans Syst Man Cybern 16:474–479

    Google Scholar 

  25. Kacprzyk J, Ziółkowski A, Zadrożny S (1989) FQuery III+: a “human consistent” database querying system based on fuzzy logic with linguistic quantifiers. Inf Syst 6:443–453

    Article  Google Scholar 

  26. Lacroix M, Lavency P (1987) Preferences: putting more knowledge into queries. In: Proceedings of the 13 international conference on very large databases, Brighton, pp 217–225

    Google Scholar 

  27. Lietard L, Rocacher D, Bosc P (2009) On the extension of SQL to fuzzy bipolar conditions. In Proceedings of the NAFIPS-2009, pp 1–6

    Google Scholar 

  28. Lindström P (1966) First-order predicate logic with generalized quantifiers. Theoria 32:186–195

    MathSciNet  Google Scholar 

  29. Mostowski A (1957) On a generalization of quantifiers. Fundam Math 44:12–36

    MathSciNet  Google Scholar 

  30. Yager RR (1988) On ordered weighted averaging operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18:183–190

    Article  MathSciNet  Google Scholar 

  31. Yager R (1992) Higher structures in multi-criteria decision making. Int J Man-Mach Stud 36:553–570

    Article  Google Scholar 

  32. Yager R (1996) Fuzzy logic in the formulation of decision functions from linguistic specifications. Kybernetes 25(4):119–130

    Article  MathSciNet  Google Scholar 

  33. Yager RR, Kacprzyk J (1997) The ordered weighted averaging operators: theory and applications. Kluwer, Norwell

    Book  Google Scholar 

  34. Yorke M Bipolarity or not? Some conceptual problems related to bipolar rating. Br Educ Res J 27(2):171–186

    Google Scholar 

  35. Zadeh LA (1983) A computational approach to fuzzy quantifiers in natural languages. Comput Math Appl 9:149–184

    Article  MathSciNet  Google Scholar 

  36. Zadrożny S (2005) Bipolar queries revisited. In: LNAI 3558, pp 387–398

    Google Scholar 

  37. Zadrożny S, De Tré G, Kacprzyk J (2010) Remarks on various aspects of bipolarity in database querying. In: Proceedings of the DEXA’10, international workshops, IEEE computer society, pp 323–327

    Google Scholar 

  38. Zadrożny S, Kacprzyk J (2006) Bipolar queries and queries with preferences. In: Proceedings of the DEXA’06, pp 415–419

    Google Scholar 

  39. Zadrożny S, Kacprzyk J (2007) Bipolar queries using various interpretations of logical connectives. In: LNCS 4529, pp 181–190

    Google Scholar 

  40. Zadrożny S, Kacprzyk J (2012) Bipolar queries: an aggregation operator focused perspective. Fuzzy Sets Syst 196:69–81

    Article  Google Scholar 

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Acknowledgments

This work was partially supported by the National Centre for Research (NCN) under Grant No. UMO-2012/05/B/ST6/03068.

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Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk & Sławomir Zadrożny

  2. WIT—Warsaw School of Information Technology, Warsaw, Poland

    Janusz Kacprzyk

Authors
  1. Janusz Kacprzyk
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  2. Sławomir Zadrożny
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Correspondence to Janusz Kacprzyk .

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Editors and Affiliations

  1. Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada

    Stan Matwin

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland, and Warsaw University of Technology, Warsaw, Poland

    Jan Mielniczuk

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Kacprzyk, J., Zadrożny, S. (2016). Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness. In: Matwin, S., Mielniczuk, J. (eds) Challenges in Computational Statistics and Data Mining. Studies in Computational Intelligence, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-319-18781-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-18781-5_6

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