Table of Contents Author Guidelines Submit a Manuscript
Advances in Fuzzy Systems
Volume 2014, Article ID 864074, 5 pages
http://dx.doi.org/10.1155/2014/864074
Research Article

Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory

1Department of Mathematics, Velalar College of Engineering & Technology, Tamil Nadu 638012, India
2Department of Mathematics, Sri Ramakrishna Engineering College, Tamil Nadu 641022, India

Received 15 July 2014; Revised 29 July 2014; Accepted 2 August 2014; Published 20 August 2014

Academic Editor: Salvatore Sessa

Copyright © 2014 P. Shanmugasundaram et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Molodtsov, “Soft set theory-first results,” Computers and mathematics with Applications, vol. 37, no. 4-5, pp. 19–31, 1999. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  2. P. K. Maji, R. Biswas, and A. R. Roy, “Fuzzy soft sets,” Journal of Fuzzy Mathematics, vol. 9, no. 3, pp. 589–602, 2001. View at Google Scholar · View at MathSciNet
  3. P. K. Maji, A. R. Roy, and R. Biswas, “On intuitionistic fuzzy soft sets,” Journal of Fuzzy Mathematics, vol. 12, no. 3, pp. 669–683, 2004. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  4. D. Pei and D. Miao, “From soft sets to information systems,” in Proceedings of the IEEE International Conference on Granular Computing, vol. 2, pp. 617–621, July 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Chen, E. C. C. Tsang, D. S. Yeung, and X. Wang, “The parameterization reduction of soft sets and its applications,” Computers and Mathematics with Applications, vol. 49, no. 5-6, pp. 757–763, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  6. Y. Yang and C. Ji, “Fuzzy soft matrices and their applications,” in Artificial Intelligence and Computational Intelligence, vol. 7002 of Lecture Notes in Computer Science, pp. 618–627, 2011. View at Publisher · View at Google Scholar
  7. M. J. Borah, T. J. Neog, and D. K. Sut, “Fuzzy soft matrix theory and its decision making,” International Journal of Modern Engineering Research, vol. 2, pp. 121–127, 2012. View at Google Scholar
  8. T. J. Neog and D. K. Sut, “An application of fuzzy soft sets in decision making problems using fuzzy soft matrices,” International Journal of Mathematical Archive, vol. 2, pp. 2258–2263, 2012. View at Google Scholar
  9. B. Chetia and P. K. Das, “On Fuzzy Soft Matrix Theory,” Journal of the Assam Academy of Mathematics, vol. 2, pp. 71–83, 2010. View at Google Scholar
  10. B. Chetia and P. K. Das, “On Fuzzy Soft Sets,” International Journal of Mathematical Archive, vol. 2, pp. 1–6, 2011. View at Google Scholar
  11. B. Chetia and P. K. Das, “Some results of intuitionistic fuzzy soft matrix theory,” Pelagia Research Library, Advances in Applied Science Research, vol. 3, no. 1, pp. 412–423, 2012. View at Google Scholar
  12. P. Rajarajeswari and P. Dhanalakshmi, “Intuitionistic fuzzy soft matrix theory and its application in decision making,” International Journal of Engineering Research and Technology, vol. 2, no. 4, pp. 1100–1111, 2013. View at Google Scholar
  13. P. Rajarajeswari and P. Dhanalakshmi, “Intuitionistic fuzzy soft matrix theory and its application in medical diagnosis,” Annals of Fuzzy Mathematics and Informatics, vol. 2, pp. 1–11, 2013. View at Google Scholar
  14. P. Rajarajeswari and P. Dhanalakshmi, “Similarity measures of intuitionistic fuzzy soft sets and their application in medical diagnosis,” International Journal of Mathematical Archive, vol. 5, no. 5, pp. 143–149, 2014. View at Google Scholar
  15. P. Shanmugasundaram and C. V. Seshaiah, “An application of intuitionistic fuzzy technique in medical diagnosis,” Australian Journal of Basic and Applied Sciences, vol. 8, no. 9, pp. 392–395, 2014. View at Google Scholar
  16. P. Shanmugasundaram, C. V. Seshaiah, and K. Rathi, “Intuitionistic fuzzy soft matrix theory in medical diagnosis using max-min average composition method,” Accepted for publication in Journal of Theoretical and Applied Information Technology, 2014.