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A Novel Fuzzy Membership Partitioning for Improved Voting in Fault Tolerant System

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53451#.VMWzDCzQrzE

ABSTRACT
This paper presents a novel technique for improved voting by adaptively varying the membership boundaries of a fuzzy voter to achieve realistic consensus among inputs of redundant modules of a fault tolerant system. We demonstrate that suggested dynamic membership partitioning minimizes the number of occurrences of incorrect outputs of a voter as compared to the fixed membership partitioning voter implementations. Simulation results for the proposed voter for Triple Modular Redundancy (TMR) fault tolerant system indicate that our algorithm shows better safety and availability performance as compared to the existing one. However, our voter design is general and thus it can be potentially useful for improving safety and availability of critical fault tolerant systems.
 
Cite this paper
Pathak, A. , Agarwal, T. and Mohan, A. (2015) A Novel Fuzzy Membership Partitioning for Improved Voting in Fault Tolerant System. Journal of Intelligent Learning Systems and Applications, 7, 1-10. doi: 10.4236/jilsa.2015.71001.
 
References
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[2]Ross, T.J. (2008) Fuzzy Logic with Engineering Applications. Wiley Student Edition.
 
[3]Latif-Shabgahi, G. and Hirst, A.J. (2005) A Fuzzy Voting Scheme for Hardware and Software Fault Tolerant Systems. Fuzzy Sets and Systems, 150, 579-598.
http://dx.doi.org/10.1016/j.fss.2004.02.014
 
[4]Agarwal, T., Pathak, A. and Mohan, A. (2011) A Novel Hybrid Voter Using Genetic Algorithm and Performance History. International Journal of Artificial Intelligence and Expert Systems, 2, 117-125.
 
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[6]Latif-Shabgahi, G., Tokhi, M.O. and Taghvaei, M. (2005) Voting with Dynamic Threshold Values for Real-Time Fault Tolerant Control Systems.
 
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[10]Latif-Shabgahi, G., Bass, J.M. and Bennett, S. (2001) History-Based Weighted Average Voter: A Novel Software Voting Algorithm for Fault-Tolerant Computer Systems. 9th Workshop Parallel and Dis-tributed Processing, 402-409.
 
[11]Parhami, B. (1992) Optimal Algorithm for Exact, Inexact and Approval Voting. FTCS-22: 22nd International Symposium on Fault Tolerant Computing, Boston, July 1992, 404-411.
 
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[13]Minichino, M., Ciancamerla, E., Chiaradonna, S. and Bondavalli, A. (2000) An Experience of Depen-dability Assessment of a Typical Industrial Safety-Critical PLC.
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[14]Nurmi, H. (2003) A Fuzzy Solution to a Majority Voting Game. Fuzzy Sets and Systems, 2, 187-198.
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