Fuzzy Logic Approach in the Social Sciences
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-17299-1_104666
Reference73 articles.
1. Abiyev, R. H., Aliev, R., Kaynak, O., Turksen, I. B., & Bonfig, K. W. (2015). Fusion of Computational Intelligence Techniques and Their Practical Applications. Computational Intelligence and Neuroscience, 2015, 463147. https://doi.org/10.1155/2015/463147.
2. Aiche, F., & Dubois, D. (2019). Comparing the magnitude of fuzzy intervals and fuzzy random variables from the standpoint of gradual numbers. Soft Computing, 23(15), 5975–5990. https://doi.org/10.1007/s00500-018-3526-x.
3. Aliev, R. (2009). Decision analysis on fuzzy economics. The Caucasus & Globalization, 3, 51–56.
4. Aliev, R., Fazlollahi, B., Aliev, R., & Guirimov, B. (2006). Fuzzy time series prediction method based on fuzzy recurrent neural network, Lecture Notes in Computer Science (LNCS), 860–869.
5. Studies in Fuzziness and Soft Computing;B Arfi,2010
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