文章基本信息

标题：A Novel Fuzzy Membership Partitioning for Improved Voting in Fault Tolerant System
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作者：Akhilesh Pathak , Tarang Agarwal , Anand Mohan
期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2015
卷号：07
期号：01
页码：1-10
DOI：10.4236/jilsa.2015.71001
语种：English
出版社：Scientific Research Publishing
摘要：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.
关键词：Fault Tolerance; Fault Masking; Threshold; Fuzzy Voting; Majority Voting; Safety; Availability