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Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
Abstract
This paper describes an application of fuzzy logic in designing controllers for industrial plants. A fuzzy logic is used to synthesize linguistic control protocol of a skilled operator. The method has been applied to pilot scale plants as well as in practical situations. The merits of this method and its usefulness to control engineering are discussed. An avenue for further work in this area is described where the need is to go beyond a purely descriptive approach, and means for implementing a prescriptive or a self-organizing system are explored.
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Citations
Cited by
Fuzzy logic in control systems: fuzzy logic controller. II
Lee, C. C. (1990) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.52552 · Cited by 1,315
A linguistic self-organizing process controller
Procyk, T. J., & Mamdani, E. H. (1979) · Automatica · doi:10.1016/0005-1098(79)90084-0 · Cited by 1,076
Zimmermann, H. ‐. (2010) · WIREs Computational Statistics · doi:10.1002/wics.82 · Cited by 744
Schlechtingen, M., Santos, I. F., & Achiche, S. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2012.08.033 · Cited by 311
The 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Metadata
- Authors
- Mamdani
- Venue
- IEEE Transactions on Computers
- Published
- 1977-12
- Volume
- C-26
- Issue
- 12
- Pages
- 1182-1191
- ISSN
- 0018-9340 (ISSN-L)
- 1557-9956
- 2326-3814
- OpenAlex
- W2130915832
- Cited by
- 2,137
- References
- 0
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mamdani. (1977). Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis. IEEE Transactions on Computers. https://doi.org/10.1109/tc.1977.1674779
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
