Abstract
The main objective of this manuscript is to discuss the availability analysis of the industrial plant. Conventionally availability studies assume that probability in Markov models are accurate. However in reality, data is either insufficient or contain uncertainty which violates this assumption. Keeping this in view the availability of Butter oil processing plant is evaluated after developing the intuitionistic fuzzy differential equations for the system by using its Markov model. \((\alpha , \beta )\)-Cut method has been used to evaluate intuitionistic fuzzy availability of the system.
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Acknowledgement
The authors are grateful to the reviewers for their valuable comments and suggestions. The first author (Neha Singhal) acknowledges the University Grants Commission (UGC), New Delhi India, for financial support to carry out this work.
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Singhal, N., Sharma, S.P. (2017). Availability Analysis of the Butter Oil Processing Plant Using Intuitionistic Fuzzy Differential Equations. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore. https://doi.org/10.1007/978-981-10-3322-3_32
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DOI: https://doi.org/10.1007/978-981-10-3322-3_32
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