Unlocking Energy Efficiency: Harnessing Fuzzy Logic Control for Lighting Systems
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference18 articles.
1. Lotfi A Zadeh, Rafik Aliev, Fuzzy Logic Theory and Applications: Part I and Part II, https://doi.org/10.1142/10936 | December 2018, Pages: 61.
2. Approximate Reasoning on a Basis of Z-Number-Valued If–Then Rules;Aliev;IEEE Transactions on Fuzzy Sys-tems,2017
3. Zadeh L.A., Aliyev R.A. Fuzzy Logic Theory and Applications.Part I and Part II., 2018. p.612.
4. Balashirin, A.R. (2023). The Use of Fuzzy Numbers for the Rational Choice of the Structure of the Distribution Channel of Goods. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. pp. 626–633. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_82
5. Imamguluyev, R., Mikayilova, R., Salahli, V. (2022). Application of a Fuzzy Logic Model for Optimal Assessment of the Maintenance Factor Affecting Lighting in Interior Design. In: Shakya, S., Ntalianis, K., Kamel, K.A. (eds) Mobile Computing and Sustainable Informatics. Lecture Notes on Data Engineering and Communications Technologies, vol 126. Springer, Singapore. https://doi.org/10.1007/978-981-19-2069-1_32
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