Fuzzy Information and Engineering

, Volume 4, Issue 1, pp 75–91 | Cite as

Applications of classification based on similarities and dissimilarities

Original Article
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Abstract

In this paper, we first review some definitions and propositions regarding similarities between two objects (2-similarity), or among three or more objects (3-similarity/n-similarity). Then the notion of 3-dissimilarity is introduced and the relationships and connections between 2-dissimilarities and 3-dissimilarities are studied. Through some examples, the applications regarding the concepts of 3-similarity, 4-similarity, and dissimilarity relations will be brought out.

Keywords

3-similarity relations Equivalence 3-relations Dissimilarity relations n-dissimilarity 

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References

  1. 1.
    Alguliev R, Aliguliyev R (2007) Experimental investigating the F-measure as similarity measure for automatic text summarization. Applied and Computational Mathematics 6(2): 278–287Google Scholar
  2. 2.
    Jain A, Dubes R (1988) Algorithm for clustring data. Prentice HallGoogle Scholar
  3. 3.
    Gentner D, Markman A B (1997) Structural alignment in analogy and similarity. American Psychologist 52(1): 45–56CrossRefGoogle Scholar
  4. 4.
    Hahn U, Chater N, Richardson L B (2003) Similarity as transformation. Cognition 87: 1–32MATHCrossRefGoogle Scholar
  5. 5.
    Keshavarzi M, Dehghan M A, Mashinchi M (2009) Classification based on similarity and dissimilarity through equivalence classes. Applied and Computational Mathematics 8(2): 203–215MathSciNetMATHGoogle Scholar
  6. 6.
    Keshavarzi M, Dehghan M A, Mashinchi M (2011) Classification based on 3-similarity. Iranian Journal of Mathematical Sciences and Informatics 6(1): 7–21MathSciNetGoogle Scholar
  7. 7.
    Klawonn F, Castro J L (1995) Similarity in fuzzy reasoning. Mathware and Soft Computing 3: 197–228MathSciNetGoogle Scholar
  8. 8.
    Landauer T K, Dumais S T (1997) A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review (104)2: 211–240CrossRefGoogle Scholar
  9. 9.
    Larkey L B, Markman A B (2005) Processes of similarity judgment. Cognitive Science 29: 1061–1076CrossRefGoogle Scholar
  10. 10.
    Loia V, Senatore S, Sessa M (2004) Combining agent technology and similarity-based reasoning for targeted e-mail services. Fuzzy Sets and Systems 145: 29–56MathSciNetCrossRefGoogle Scholar
  11. 11.
    Rezaei H, Emoto M, Mukaidono M (2006) New similarity measure between two fuzzy sets. Journal of Advanced Computational Intelligence and Intelligent Informatics 10(6): 946–953Google Scholar
  12. 12.
    Rissland E L (2006) AI and similarity. IEEE Intelligent Systems 21(3): 39–49CrossRefGoogle Scholar
  13. 13.
    Sessa M I (2001) Translation and similarity-based logic programming. Soft Computing 5: 160–170MATHCrossRefGoogle Scholar
  14. 14.
    Shepard R N (1962) The analysis of proximities: Multidimensional scaling with an unknown distance function. I. Psychometrika 27(2): 125–140MathSciNetMATHCrossRefGoogle Scholar
  15. 15.
    Schweitzer B, Sklar A(1983) Probabilistic metric spaces. North-Holland, New YorkGoogle Scholar
  16. 16.
    Tversky A (1977) Features of similarity. Psychological Review 84(4): 327–352CrossRefGoogle Scholar
  17. 17.
    Valtchev P (1999) Construction automatique de taxanomies pour l’aide a’ la representaion de connaissance par objects. These de doctorat, Universite Joseph Fourier, Grenoble IGoogle Scholar
  18. 18.
    Zadeh L A (1965) Fuzzy Sets. Information Control: 338–353Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg and Fuzzy Information and Engineering Branch of the Operations Research Society of China 2012

Authors and Affiliations

  1. 1.Mathematics and Computer SciencesShahid Bahonar UniversityKermanIran
  2. 2.MathematicsVali-e-Asr University of RafsanjanRafsanjanIran

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