An Improved Fuzzy Voting Scheme for Fault Tolerant Systems

Ram Murti Rawat, Tarun Kumar Gupta, Mohammad Sajid, Shiv Prakash, Dinesh Prasad Sahu, Sohan Kumar Yadav and Chanchal Kumar
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Ram Murti Rawat: Indian Institute of Technology (BHU), Varanasi, India
Tarun Kumar Gupta: Jawaharlal Nehru University, New Delhi, India
Mohammad Sajid: Jawaharlal Nehru University, New Delhi, India
Shiv Prakash: Department of Chemical Engineering, Indian Institute of Technology, Delhi, India
Dinesh Prasad Sahu: School of Computer and systems Sciences, Jawaharlal Nehru University, New Delhi, India
Sohan Kumar Yadav: Jawaharlal Nehru University, New Delhi, India
Chanchal Kumar: Jawaharlal Nehru University, New Delhi, India

International Journal of Applied Evolutionary Computation (IJAEC), 2015, vol. 6, issue 2, 41-49

Abstract: Voting is a widely used fault masking techniques for safety-critical systems to enhance the overall reliability of the system. Researchers over the period have proposed numerous advanced techniques in order to improve on the drawback of the existing methods. In this paper a fuzzy voting scheme has been survey and a generalized improved fuzzy voting scheme has been proposed. A comparative study of these schemes has also been carried out. It is found that proposed model is better than existing models. Single objective, multi-objective objective and many objective will be applied in future.

Date: 2015
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