Open Access
Int. J. Simul. Multidisci. Des. Optim.
Volume 14, 2023
Article Number 7
Number of page(s) 9
Published online 17 August 2023
  1. L.A. Zadeh, Fuzzy sets, Inf. Control 8, 338–353 (1965) [Google Scholar]
  2. K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Syst. 20, 87–96 (1986) [CrossRef] [Google Scholar]
  3. J. Xu, Q. Hu, W.-C. Lee, D.L. Lee, Performance evaluation of an optimal cache replacement policy for wireless data dissemination, IEEE Trans. Knowl. Data Eng. 16, 125–139 (2004) [CrossRef] [Google Scholar]
  4. K.-Y. Wong, Web cache replacement policies: a pragmatic approach, IEEE Network 20, 28–34 (2006) [CrossRef] [Google Scholar]
  5. Y. Liu, H.-Z. Huang, Optimal replacement policy for multi-state system under imperfect maintenance, IEEE Trans. Reliab. 59, 483–495 (2010) [CrossRef] [Google Scholar]
  6. Y.H. Yoo, Operating characteristics of a failure counting group replacement policy, Int. J. Syst. Sci. 42, 499–506 (2011) [CrossRef] [Google Scholar]
  7. Y. Barron, Group replacement policies for a repairable cold standby system with fixed lead times, IIE Trans. 47, 1139–1151 (2015) [CrossRef] [Google Scholar]
  8. M. Park, H. Pham, Cost models for age replacement policies and block replacement policies under warranty, Appl. Math. Model. 40, 5689–5702 (2016) [CrossRef] [MathSciNet] [Google Scholar]
  9. X. Zhao, K.N. Al-Khalifa, A.M. Hamouda, T. Nakagawa, Age replacement models: a summary with new perspectives and methods, Reliab. Eng. Syst. Saf. 161, 95–105 (2017) [CrossRef] [Google Scholar]
  10. C.S. Chiu, W.-L. Chang, R.H. Yeh, Group replacement policies for repairable N-component parallel systems, Lecture Notes Mech. Eng. 25–38 (2018) [CrossRef] [Google Scholar]
  11. C.R. Diniz, J. Sessions, R.T. Junior, R. Cesar, Equipment replacement policy for forest machines in Brazil, (2019), [Google Scholar]
  12. Liu, A group replacement decision support system based on internet of things, Mathematics 7, 810 (2019) [CrossRef] [Google Scholar]
  13. M. Finkelstein, J.H. Cha, P.M. Pardalos, On a new age‐replacement policy for items with observed stochastic degradation, Oper. Res. Manag. Sci. 36, 1132–1143 (2020) [Google Scholar]
  14. H. Garg, Z. Ali, T. Mahmood, Interval-valued picture uncertain linguistic generalized Hamacher aggregation operators and their application in multiple attribute decision-making process, Arab. J. Sci. Eng. 46, 10153–10170 (2021) [CrossRef] [Google Scholar]
  15. S. Liu, W. Yu, Felix T.S. Chan, B. Niu, A variable weight‐based hybrid approach for multi‐attribute group decision making under interval‐valued intuitionistic fuzzy sets, Int. J. Intell. Syst. 36, 1015–1052 (2021) [CrossRef] [Google Scholar]
  16. H.E. van Staden, L. Deprez, R.N. Boute, A dynamic ‘predict, then optimize’ preventive maintenance approach using operational intervention data, Eur. J. Oper. Res. (2022) [Google Scholar]
  17. A. Forootani, M.G. Zarch, M. Tipaldi, R. Iervolino, A stochastic dynamic programming approach for the machine replacement problem, Eng. Appl. Artif. Intell. 118, 105638 (2023) [CrossRef] [Google Scholar]
  18. V.C. Makwana, V.P. Soni, N.I. Patel, M. Sahni, Fuzzy number − a new hypothesis and solution of fuzzy equations, Math. Stat. 10, 176–186 (2022) [CrossRef] [Google Scholar]

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