logo
calendar10 Yanvar 2020
view56
Основной язык:Английский

Multicriterial optimization of information granules in fuzzy If-Then rules.

Область науки:
pdf

5e18396f4fdef.pdf

PDF

Kimyoviy texnologiya. Nazorat va boshqaruv

Kimyoviy texnologiya. Nazorat va boshqaruv

Опубликовать статьюsee more

АННОТАЦИЯ СТАТЬИ

quote
Investigation of trade-off between characteristics of information granules for construction of fuzzy rule-based model is challenging scientific problem. Main optimization requirement in information granules estimation (antecedent and consequent parts of fuzzy rules) are cardinality which characterizes justifiability (reliability) of information granules in light of the available experimental data and specificity that characterizes semantics of information granules. This paper is devoted to a multicriterial approach to solving of optimization problem of construction of interval and fuzzy information granules. Validity of the proposed approach is proved by numerical examples.

АВТОРЫ

A.Aliyev

Azerbaijan State Oil and Industry University

H.Huseynov

Azerbaijan State Oil and Industry University

E.Adilova

Azerbaijan State Oil and Industry University

Теги

# specificity# interval# information granularity# cardinality# triangular fuzzy number

ДРУГИЕ СТАТЬИ ЭТОГО ЖУРНАЛА

Оценить статью

0
оценок: 0
5
4
3
2
1

Идентификаторы статьи

ROI:

https://eroi.uz/11.0008/A0120-0040

DOI:

Недоступно

Список литературы

1. Aliev R.A. Operations on Z-numbers with acceptable degree of specificity, Procedia Computer Science, 120(2017), pp.9-15 2. Dubois D., Prade H.: Possibility Theory: Qualitative and quantitative aspects. Kluwer Academic Publishers., vol. 1, pp. 169-226. (1998). 3. Kacprzyk J.: On Measuring Specificity of If-Then Rules. Int. J. Approximate Reasoning 11(1), 29-53 (1994) 4. Nigar E. Adilova, Construction of fuzzy control system rule-base with predefined specificity, ICAFS-2018 5. Pedrycz W. Granular Computing; Principles and algorithms. 6. Pedrycz W., Gomide F. Fuzzy systems engineering: Toward human-centric computing, Wiley-IEEE Press, 2007. -544 p. 7. Pedrycz W. Forming and Quantifying Consensus in Distributed System Modeling and Group DecisionMaking: A Perspective of Granular Computing, ICAFS2018. 8. Pedrycz W., Vukovich, G. On elicitation of membership functions, IEEE Trans. Syst., Man, Cybern., Part A, 32 (6), 2002, pp. 761-767 9. Sudkamp T.: Granularity and specificity in fuzzy rulebased systems. Springer-Verlag Berlin Heidelberg, vol. 7, pp. 257-274. (2001).