Reliability analysis of different complex systems using intuitionistic trapezoidal fuzzy number

Jaya Bhadauria, Sudha Rana, A. Kumari, D. Kumar
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Abstract

Reliability modelling is one of the most important disciplines of reliability engineering. In this research, a new method for analyzing fuzzy system reliability using intuitionistic trapezoidal fuzzy set theory is presented, where the reliabilities of the components of a system are represented by intuitionistic trapezoidal fuzzy number for modelling uncertainty and vagueness in real life situations. The proposed method can model and analyze the fuzzy system reliability in a more flexible and more intelligent manner. The proposed method also uses the score function and accuracy function for comparison of different complex systems. The score function can help the decision maker to make his decision more efficiently in decision-making problem.
用直觉梯形模糊数分析不同复杂系统的可靠性
可靠性建模是可靠性工程的重要学科之一。本文提出了一种利用直觉梯形模糊集理论分析模糊系统可靠性的新方法,将系统各组成部分的可靠性用直觉梯形模糊数来表示,以模拟现实生活中的不确定性和模糊性。该方法可以更灵活、更智能地对模糊系统的可靠性进行建模和分析。该方法还利用分数函数和精度函数对不同复杂系统进行比较。分数函数可以帮助决策者在决策问题中更有效地做出决策。
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