Time-dependent intuitionistic fuzzy system reliability analysis

The purpose of the present paper is to provide a method for constructing time-dependent reliability systems based on intuitionistic fuzzy random variables. A lifetime variable cannot be precisely recorded due to machine errors, experimentation pitfalls, personal judgments, estimation errors or other unexpected sources of error. In order to satisfy the purpose of this paper, an intuitionistic fuzzy random variable with exact parameters was introduced and adopted to evaluate the reliability functions of a k-out-of-n system, with some reliability evaluation criteria discussed and interpreted. Numerical evaluations were further presented to illustrate the calculation of the system reliability criteria in the form of intuitionistic fuzzy numbers. Finally, a number of potential engineering applications of the proposed method were presented.

[1]  Ahmed Hafaifa,et al.  A New Engineering Method for Fuzzy Reliability Analysis of Surge Control in Centrifugal Compressor , 2009 .

[2]  Gaurav Kumar,et al.  Intuitionistic Fuzzy Reliability of k-out-of-n System using Statistical Confidence Interval , 2014 .

[3]  Zhenzhou Lu,et al.  Numerical Method for Fuzzy Reliability Analysis , 2013 .

[4]  Huibert Kwakernaak,et al.  Fuzzy random variables - I. definitions and theorems , 1978, Inf. Sci..

[5]  Katsushi Inoue,et al.  Three-way two-dimensional multicounter automata , 1979, Inf. Sci..

[6]  Luca Podofillini,et al.  Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application , 2015, Reliab. Eng. Syst. Saf..

[7]  Hong-Chao Zhang,et al.  Fuzzy Reliability Estimation for Cutting Tools , 2014 .

[8]  Mohit Kumar,et al.  Fuzzy system reliability evaluation using time-dependent intuitionistic fuzzy set , 2013, Int. J. Syst. Sci..

[9]  H. S. Kushwaha,et al.  A New Uncertainty Importance Measure in Fuzzy Reliability Analysis , 2009 .

[10]  Suraj B. Singh,et al.  Fuzzy Reliability of Two-Stage Weighted-k-out-of-n Systems with Common Components , 2016 .

[11]  Shiv Prasad Yadav,et al.  New Approach for Electric Robot Fuzzy Reliability Analysis , 2007 .

[12]  Ghanshaym Singha Mahapatra,et al.  Reliability Evaluation of Complex System with Fuzzy Reliability of Components using Interval Nonlinear Programming , 2012 .

[13]  I. M. Aliev,et al.  Fuzzy system reliability analysis using dependent fuzzy set , 2004 .

[14]  K. Abdul Razak,et al.  A study on fuzzy reliability measures , 2013 .

[15]  Kwang Hyung Lee,et al.  First Course on Fuzzy Theory and Applications , 2005, Advances in Soft Computing.

[16]  Yu Ge Dong,et al.  Simulation of Fuzzy reliability indexes , 2003 .

[17]  Quan Sun,et al.  Reliability analysis for multi-state system based on triangular fuzzy variety subset bayesian networks , 2017 .

[19]  Possibility and Probability Aspect to Fuzzy Reliability Analysis of a Network System , 2017 .

[20]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[21]  Shiv Prasad Yadav,et al.  A novel approach for analyzing fuzzy system reliability using different types of intuitionistic fuzzy failure rates of components. , 2012, ISA transactions.

[22]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[23]  Hsien-Chung Wu,et al.  Fuzzy reliability estimation using Bayesian approach , 2004, Comput. Ind. Eng..

[24]  Baloui Jamkhaneh Ezzatallah AN EVALUATION OF THE SYSTEMS RELIABILITY USING FUZZY LIFETIME DISTRIBUTION , 2011 .

[25]  K. Atanassov New operations defined over the intuitionistic fuzzy sets , 1994 .

[26]  Z. H. Huang,et al.  A novel evidence-based fuzzy reliability analysis method for structures , 2017 .