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International Conference on Artificial Intelligence and Computational Intelligence

AICI 2011: Artificial Intelligence and Computational Intelligence pp 618–627Cite as

Fuzzy Soft Matrices and their Applications

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

Abstract

In this paper, we define fuzzy soft matrices and study their basic properties. We then define products of fuzzy soft matrices that satisfy commutative law and present a decision making method. This method can solve decision making problems which consider many observers’ views. We finally offer some examples to show that the presented method is more reasonable and reliable in solving practical problems.

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References

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Author information

Authors and Affiliations

  1. College of Mathematics and Information Science, Northwest Normal University, Lanzhou, 730070, China

    Yong Yang & Chenli Ji

Authors
  1. Yong Yang
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  2. Chenli Ji
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yang, Y., Ji, C. (2011). Fuzzy Soft Matrices and their Applications. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_79

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  • DOI: https://doi.org/10.1007/978-3-642-23881-9_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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