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On This Book: Clustering, Multisets, Rough Sets and Fuzzy Sets

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Book cover Fuzzy Sets, Rough Sets, Multisets and Clustering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 671))

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Abstract

This chapter gives an overview of the content of this book, and links them with the work of Prof. Sadaaki Miyamoto, to whom this book is dedicated.

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References

  1. Miyamoto, S. (1990) Fuzzy Sets in Information Retrieval and Cluster Analysis, Theory and Decision Library, Series D, Kluwer Academic Publishers.

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  2. Miyamoto, S. (1999) Introduction to fuzzy clustering (in Japanese), Ed. Morikita, Japan.

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  3. Miyamoto, S. (2000) Multisets and fuzzy multisets, in Z.-Q. Liu, S. Miyamoto (Eds.), Soft Computing and Human-Centered Machines, Springer-Tokyo.

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  4. Miyamoto, S. (2004) Generalizations of multisets and rough approximations, Int. J. of Intel. Syst. 19 639–652.

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  5. Miyamoto, S. (2004) Multisets and fuzzy multisets as a framework of information systems, MDAI 2004, Lecture Notes in Artificial Intelligence 3131 1–28.

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  6. Miyamoto, S. (2009) Generalized bags, bag relations, and applications to data nalysis and decision making, MDAI 2009, Lecture Notes in Artificial Intelligence 2009 37–54.

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  7. Miyamoto, S. (2005) Remarks on basics of fuzzy sets and fuzzy multisets, Fuzzy Sets and Systems 156 427–431.

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  8. Miyamoto, S., Ichihashi, H., Honda, K. (2008) Algorithms for fuzzy clustering, Springer.

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  9. Miyamoto, S., Mukaidono, M. (1997) Fuzzy \(c\)-means as a regularization and maximum entropy approach, Proc. of the 7th IFSA Conference, Vol.II 86–92.

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  10. Miyamoto, S., Umayahara, K. (2000) Fuzzy \(c\)-means with variables for cluster sizes (in Japanese), Proc. of the 16th Fuzzy System Symposium, 537–538.

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  11. Miyamoto, S., Umayahara, K. (2000) Methods in Hard and Fuzzy Clustering, in Z.-Q. Liu, S. Miyamoto (eds.) Soft Computing and Human-Centered Machines, Springer-Tokyo, 85–129.

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  12. Mizutani, K., Inokuchi, R., Miyamoto, S. (2008) Algorithms of nonlinear document clustering based on fuzzy multiset model, Int. J. of Intel. Syst. 23:2 176–198.

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Author information

Authors and Affiliations

  1. School of Informatics, University of Skövde, Skövde, Sweden

    Vicenç Torra & Anders Dahlbom

  2. Toho Gakuen, 3-1-10, Naka, Kunitachi, Tokyo, 186-0004, Japan

    Yasuo Narukawa

  3. Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259 Nagatuta, Midori-ku, Yokohama, 226-8502, Japan

    Yasuo Narukawa

Authors
  1. Vicenç Torra
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  2. Yasuo Narukawa
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  3. Anders Dahlbom
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Corresponding author

Correspondence to Vicenç Torra .

Editor information

Editors and Affiliations

  1. University of Skövde, School of Informatics University of Skövde, Skövde, Sweden

    Vicenç Torra

  2. University of Skövde, School of Informatics University of Skövde, Skövde, Sweden

    Anders Dahlbom

  3. Toho Gakuen , Tokyo, Japan

    Yasuo Narukawa

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Torra, V., Narukawa, Y., Dahlbom, A. (2017). On This Book: Clustering, Multisets, Rough Sets and Fuzzy Sets. In: Torra, V., Dahlbom, A., Narukawa, Y. (eds) Fuzzy Sets, Rough Sets, Multisets and Clustering. Studies in Computational Intelligence, vol 671. Springer, Cham. https://doi.org/10.1007/978-3-319-47557-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-47557-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47556-1

  • Online ISBN: 978-3-319-47557-8

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