Calculation of the fuzzy reliability in Neishabour train disaster; a case study

Fuzzy reliability is often used in analyzing the reliability in the large industrial systems. In this paper, a relatively new method is presented to analyze Neishabour (also called Nishapur, a city in Iran) train disaster. In this regards, by using the certain and uncertain propositions, unreliability circuit of the system is depicted .Due to the inability to provide exact values for the unreliability of each subsystem, regarding the opinion of experts, fuzzy logic is applied and triangular and Gaussian membership functions are attributed depending to the type of each subsystem and the fuzzy unreliability value of the system is calculated. Finally, by defuzzification and comparing the obtained value with the classification table of linguistic variables, unreliability of the system is identified.

[1]  Jorge E. Hurtado,et al.  Fuzzy structural analysis based on fundamental reliability concepts , 2012 .

[2]  R. Viertl On reliability estimation based on fuzzy lifetime data , 2009 .

[3]  Pradip Kumar Sadhu,et al.  Fuzzy reliability evaluation of captive power plant maintenance scheduling incorporating uncertain forced outage rate and load representation , 2004 .

[4]  R. Zarei,et al.  Bayesian system reliability assessment under the vague environment , 2011, Appl. Soft Comput..

[5]  Fardin Ahmadizar,et al.  Reliability optimization of a series system with multiple-choice and budget constraints using an efficient ant colony approach , 2011, Expert Syst. Appl..

[6]  Harold W. Lewis,et al.  Prediction of Mortality and Survival of Patients After Cardiac Surgery Using Fuzzy EuroSCORE System and Reliability Analysis , 2013, Complex Adaptive Systems.

[7]  Massimo Bertolini,et al.  Assessment of human reliability factors: A fuzzy cognitive maps approach , 2007 .

[8]  Latife Görkemli,et al.  Fuzzy Bayesian reliability and availability analysis of production systems , 2010, Comput. Ind. Eng..

[9]  Hakki Özgür Ünver,et al.  A fuzzy quality control-decision support system for improving operational reliability of liquid transfer operations in laboratory automation , 2009, Expert Syst. Appl..

[10]  A. K. Verma,et al.  Composite system reliability assessment using fuzzy linear programming , 2005 .

[11]  Yi Ding,et al.  Fuzzy universal generating functions for multi-state system reliability assessment , 2008, Fuzzy Sets Syst..

[12]  Hsien-Chung Wu Fuzzy Bayesian system reliability assessment based on exponential distribution , 2006 .

[13]  Sohrab Asgarpoor,et al.  Fuzzy-based approaches to substation reliability evaluation , 2004 .

[14]  Esmaile Khorram,et al.  A fuzzy shortest path with the highest reliability , 2009 .

[15]  Hu-Chen Liu,et al.  Human reliability assessment for medical devices based on failure mode and effects analysis and fuzzy linguistic theory , 2014 .

[16]  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.

[17]  Kai-Yuan Cai,et al.  Towards a conceptual framework of software run reliability modeling , 2000, Inf. Sci..

[18]  Balbir S. Dhillon,et al.  Maintainability, Maintenance, and Reliability for Engineers , 2006 .

[19]  Wolfgang Graf,et al.  Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomness , 2006 .

[20]  Sohrab Asgarpoor,et al.  A fuzzy-based approach for generation system reliability evaluation , 2000 .

[21]  Zhiping Qiu,et al.  Hybrid probabilistic fuzzy and non-probabilistic model of structural reliability , 2010, Comput. Ind. Eng..

[22]  Debjani Chakraborty,et al.  A production inventory model with fuzzy random demand and with flexibility and reliability considerations , 2009, Comput. Ind. Eng..

[23]  Marco Savoia,et al.  Structural reliability analysis through fuzzy number approach, with application to stability , 2002 .

[24]  Qimi Jiang,et al.  A numerical algorithm of fuzzy reliability , 2003, Reliab. Eng. Syst. Saf..

[25]  Haijun Chen,et al.  A new fuzzy parameters reliability analysis model , 2012 .

[26]  Harish Garg,et al.  Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment , 2014, Expert Syst. Appl..

[27]  Terje Aven,et al.  Interpretations of alternative uncertainty representations in a reliability and risk analysis context , 2011, Reliab. Eng. Syst. Saf..

[28]  G. R. Dodagoudar,et al.  RELIABILITY ANALYSIS OF SLOPES USING FUZZY SETS THEORY , 2000 .

[29]  Lu Zhenzhou,et al.  Moment Method Based on Fuzzy Reliability Sensitivity Analysis for a Degradable Structural System , 2008 .

[30]  Bernd Möller,et al.  Discussion on “Structural reliability analysis through fuzzy number approach, with application to stability” , 2004 .

[31]  Peng Wang,et al.  Fuzzy logic-based direct load control of air conditioning loads considering nodal reliability characteristics in restructured power systems , 2010 .

[32]  Ayman I. Kayssi,et al.  Fuzzy reputation-based trust model , 2011, Appl. Soft Comput..

[33]  Chris T. Kiranoudis,et al.  A fuzzy modeling application of CREAM methodology for human reliability analysis , 2006, Reliab. Eng. Syst. Saf..

[34]  Jung-Hsien Chiang,et al.  Incorporating fuzzy operators in the decision network to improve classification reliability , 2002, Comput. Electr. Eng..

[35]  Tazid Ali,et al.  Uncertainty Modeling in Risk Analysis: A Fuzzy Set Approach , 2012 .

[36]  Li Bing,et al.  A practical engineering method for fuzzy reliability analysis of mechanical structures , 2000 .

[37]  Franco Bontempi,et al.  Fuzzy reliability analysis of concrete structures , 2004 .

[38]  Tapan Kumar Roy,et al.  Fuzzy multi-objective mathematical programming on reliability optimization model , 2006, Appl. Math. Comput..

[39]  Chen Jianqiao,et al.  FUZZY RELIABILITY-BASED OPTIMUM DESIGN OF LAMINATED COMPOSITES , 2006 .