EST

Call for paper
April Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the
March 15, 2017
April 2017 Edition of the journal.
The last date of research paper submission is
March 15, 2017
SUBMIT YOUR PAPER

Number 7

Intuitionistic Fuzzy Reliability of k-out-of-n System using Statistical Confidence Interval

User Rating: 0 / 5

Star InactiveStar InactiveStar InactiveStar InactiveStar Inactive
 

PrintEmail

journal image
 Download
1121

Export

  • Gaurav Kumar and Rakesh Kumar Bajaj 2014. Intuitionistic Fuzzy Reliability of k-out-of-n System using Statistical Confidence Interval. International Journal of Applied Information Systems. 7, 7 (August 2014), 1-7. DOI=http://dx.doi.org/10.5120/ijais451212 
  • @article{10.5120/ijais2017451568,
author = {Gaurav Kumar and Rakesh Kumar Bajaj},
title = {Intuitionistic Fuzzy Reliability of k-out-of-n System using Statistical Confidence Interval},
journal = {International Journal of Applied Information Systems},
issue_date = {August 2014},
volume = {7},
number = {},
month = {August},
year = {2014},
issn = {},
pages = {1-7},
numpages = {},
url = {/archives/volume7/number7/665-1212},
doi = { 10.5120/ijais14-451212},
publisher = { xA9 2013 by IJAIS Journal},
address = {}
}

  • %1 451212
%A Gaurav Kumar
%A Rakesh Kumar Bajaj
%T Intuitionistic Fuzzy Reliability of k-out-of-n System using Statistical Confidence Interval
%J International Journal of Applied Information Systems
%@ 
%V 7
%N 
%P 1-7
%D 2014
%I  xA9 2013 by IJAIS Journal

Abstract

The intention to work on the topic of this nature is emanated from the interest to explore alternative technological solution to achieve effective speed control. The objective of the study is to design and develop a new system that can effectively detect speed violations on the road and supports the driver to obey traffic rules while driving by maintaining the speed according to the speed limit prescribed. Based on the detailed review of the literature and also based on the comparison among the prevailing approaches in addressing the core issues, the study has introduced an efficient system with an enhanced scope. The proposed system consists of PIC (18F45K22) microcontroller, Radio Frequency Identification (RFID) and Global System for Mobile Communications (GSM). The system is having two RFID readers along with a passive tag that is attached to the vehicle and GSM is utilized to notify the vehicle's owner and Police through Short Message Service (SMS). Furthermore, a picture of a vehicle is taken via the Camera and a fine is charged when the speed limit is exceeded. The system offers low cost, reliable, efficient results and real time notification. The system was designed and simulated using Proteus v7. 10 and the system was operating successfully and performed accurately.

References

  1. T. Onisawa and J. Kacprzyk, "Reliability and Safety Analyses Under Fuzziness," Physica-Verlag (Springer), vol. 4, Heidelberg, 1995.
  2. Cai K. Y. , Wen C. Y. , and Zhang M. L. , "Fuzzy variables as a Basis for a Theory of Fuzzy Reliability in the Possibility Context," Fuzzy Sets and Systems, vol. 42, pp. 145–172, 1991.
  3. K. Y. Cai, C. Y. Wen and M. L. Zhang, "Coherent Systems in Profust Reliability Theory," in: Reliability and Safety Analyzes Under Fuzziness, Heidelberg: Physica-Verlag, pp. 81- 94, 1995.
  4. D. Singer, "A Fuzzy Set Approach to Fault Tree and Reliability Analysis," Fuzzy Sets and Systems, vol. 34, 145–155, 1990.
  5. C. H. Cheng and D. L. Mon, "Fuzzy System Reliability Analysis by Interval of Confidence," Fuzzy Sets and Systems, vol. 56, pp. 29–35, 1993.
  6. S. M. Chen, "Fuzzy System Reliability Analysis using Fuzzy Number Arithmetic Operations," Fuzzy Sets and Systems, vol. 64, pp. 31–38, 1994.
  7. Atanassov K. T. , "Intuitionistic fuzzy sets," Fuzzy Sets and Systems, vol. 20(1), pp. 87-96, 1986.
  8. Atanassov K. T. and Gargov G. , "Interval-valued intuitionistic fuzzy sets," Fuzzy Sets and Systems, vol. 31(3), 343-349, 1989.
  9. W. L. Gau and D. J. Buehrer , "Vague sets," IEEE Transactions on systems, Man and Cybernetics, vol. 23(2), 610-614, 1993.
  10. Y. J. Yang and C. Hinde , "A new extension of fuzzy sets using rough sets: R-fuzzy sets," Information Sciences vol. 180, 354-365, 2010.
  11. L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning-I," Information Sciences, vol. 8, 199-249, 1975.
  12. C. Cornelis, K. Atanassov and E. E. Kerre, "Intuitionistic fuzzy sets and interval-valued fuzzy sets: a critical comparison," in: Proceedings of Third European Conference on Fuzzy Logic and Technology (EUSFLAT03), Zittau, Germany, pp. 159-163, 2003.
  13. G. Deschrijver and E. E. Kerre, "On the relationship between some extensions of fuzzy set theory," Fuzzy Sets and Systems, vol. 133, 227-235, 2003.
  14. H. Bustince and P. Burillo, "Vague sets are intuitionistic fuzzy sets," Fuzzy Sets and Systems, vol. 79, 403-405, 1996.
  15. P. Burillo, H. Bustince, and V. Mohedano, "Some Definition of Intuitionistic Fuzzy Number First Properties," Proc. of the First Workshop on Fuzzy based expert systems, pp. 53–55, Sofia, Bulgaria, September 1994.
  16. G. S. Mahapatra and T. K. Roy, "Reliability Evaluation Using Triangular Intuitionistic. Fuzzy Numbers Arithmetic Operations," International Journal of Computational and Mathematical Sciences, vol. 3:5, pp. 225–232, 2009.
  17. Yao J. S. , J. S. Su and T. S. Shing, "Fuzzy System Reliability Analysis Using Triangular Fuzzy Numbers Based on Statistical Data," Journal of Information Science and Engineering, vol. 24, pp. 1521–1535, 2008.
  18. RE Barlow and KD. Heidtmann, "Computing k-out-of-n system reliability," IEEE Trans. on Reliability, vol. R-33, pp. 322-323, 1984.
  19. A. M. Rushdi, "Utilization of symmetric switching functions in the computation of k-out-of-n system reliability," Microelectronics and Reliability, vol. 26, pp. 973-987, 1986.
  20. A. M. Rushdi, "Reliability of k-out-of-n systems," In: Misra KB, editor. New trends in system reliability evaluation, vol. 16, pp. 185-227, 1993.
  21. Dutuit Y. and Rauzy A. , "New insights in the assessment of k-out-of-n and related systems," Reliability Engineering and System Safety, vol. 72, pp. 303-314, 2001.
  22. Zadeh, L. A. , Fuzzy sets, Information and Control, 8, 338– 356, (1965).
  23. Atanassov K. T. , "lntuitionistic fuzzy sets," VII ITKR's Session, Deposed in Central Sci. - Techn. Library of Bulg. Acd. of Sci. Sofia, pp. 1677–84, 1983.
  24. P. Grzegorzewski, "Distances and Orderings in a Family of Intuitionistic Fuzzy Numbers," in Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT '03), pp. 223–227, Zittau, Germany, September 2003.

Keywords

Reliability Engineering; Fuzzy Reliability; Trapezoidal Intuitionistic

Index Terms

Computer Science
Information Sciences