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Similarity coefficient in soft set theory

Author

Listed:
  • Yong Yang

    (Northwest Normal University)

  • Ling Zeng

    (Northwest Normal University)

  • Xia Tan

    (Northwest Normal University)

  • Hao Chen

    (Northwest Normal University)

Abstract

The concept of similarity is fundamentally important in almost every scientific field. Since Molodtsov originated the idea of soft sets, few research on similarity between soft sets has been done in the literature. In this paper, we define the notion of similarity coefficient between soft sets, and study the properties that are interesting and valuable in the theory of soft sets. Finally, we illustrate the effectiveness of the similarity coefficient in practical problems with examples.

Suggested Citation

  • Yong Yang & Ling Zeng & Xia Tan & Hao Chen, 2013. "Similarity coefficient in soft set theory," Fuzzy Information and Engineering, Springer, vol. 5(1), pages 119-126, March.
    • Handle: RePEc:spr:fuzinf:v:5:y:2013:i:1:d:10.1007_s12543-013-0135-3
    DOI: 10.1007/s12543-013-0135-3
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    References listed on IDEAS

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    1. Çagman, Naim & Enginoglu, Serdar, 2010. "Soft set theory and uni-int decision making," European Journal of Operational Research, Elsevier, vol. 207(2), pages 848-855, December.
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