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Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory

机译：基于直觉模糊集理论的工程系统可靠性分析

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摘要

The present paper investigates the reliability analysis of industrial systems by using vague lambda-tau methodology in which information related to system components is uncertain and imprecise in nature. The uncertainties in the data are handled with the help of intuitionistic fuzzy set (IFS) theory rather than fuzzy set theory. Various reliability parameters are addressed for strengthening the analysis in terms of degree of acceptance and rejection of IFS. Performance as well as sensitivity analysis of the system parameter has been investigated for accessing the impact of taking wrong combinations on its performance. Finally results are compared with the existing traditional crisp and fuzzy methodologies results. The technique has been demonstrated through a case study of bleaching unit of a paper mill.
机译：本文使用模糊的λ-tau方法研究工业系统的可靠性分析，该方法中与系统组件有关的信息不确定且本质上不精确。数据的不确定性借助直觉模糊集（IFS）理论而非模糊集理论来处理。解决了各种可靠性参数，以根据IFS的接受和拒绝程度来加强分析。已经研究了系统参数的性能以及灵敏度分析，以了解采用错误组合对其性能的影响。最后，将结果与现有的传统清晰和模糊方法论结果进行比较。该技术已通过造纸厂漂白单元的案例研究得到证明。

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  • 来源
    《International journal of quality, statistics, & reliability》 |2013年第2013期|943972.1-943972.10|共10页
  • 作者

    Harish Garg; Monica Rani; S. P. Sharma;

  • 作者单位

    School of Mathematics and Computer Applications, Thapar University Patiala, Punjab 147004, India;

    Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India;

    Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India;

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