Published January 2021, Pg. 35-36
Section: Industrial process automation
UOT: 519.6:001.891.57
DOI: 10.37474/0365-8554/2021-1-35-36
Estimation of the comprehension criterion for rule base in fuzzy logic theory sistems
N.E. Adilova - Azerbaijan State University of Oil and IndustryThe paper deals with the estimation of comprehension criterion for the rule base in the fuzzy logic theory systems. The conception level of management system for the user is defined with a value due to the comprehension criterion. It allows using properly in the issues of decision-making and knowledge acquisition as well.
References:
1. Zadeh L.A. Fuzzy Sets, Information Control, 1965, 8, pp. 338-353.
2. Aliyev R.A., Aliyev R.R. Soft computing, Chashyoghlu, 2004, 624 s.
3. Zadeh L.A., Aliev R.A. Fuzzy logic theory and its applications: Part I and II. World Scientific, Singapore, New Jersey, 2018.
4. Aliev R.A. Uncertain computation based on decision theory. World Scientific Publishing, Singapore, 2017.
5. Nauck D.D. Measuring interpretability in rule-based classification systems, in: FUZZ-IEEE, 2003, v. 1, St. Louis, Missouri, USA, May 25-28, pp. 196-201.