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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v30.i2-3.100
pages 86-91

A Model of Fuzzy Process for Control Problems of Fuzzy Dynamical Systems

V. P. Bocharnikov
National Research Center of Defense Technologies and Military Security of Ukraine, Kiev

SINOPSIS

A model of the fuzzy process that is based on the fuzzy integral with respect to an extended fuzzy measure is considered. The statement and proof of theorems on the representation of the fuzzy process by a fuzzy integral equation are presented. The possibility of the use of such equations in control problems of fuzzy dynamical systems is shown.

REFERENCIAS

  1. Asai, K., Vatada, D., Ivai, S., Prikladnye nechetkie sistemy (Applied Fuzzy Systems).

  2. Yager, R. R., Nechetkie mnozhestva i teoriya vozmozhnostei. Poslednie dostizheniya (Fuzzy Sets and Possibility Theory. Latest Achievements).

  3. Aliev, R. A., Tserkovnyi, A. E., and Mamedova, G. A., Upravlenie proizvodstvom pri nechetkoi iskhodnoi informatsii (Production Control under Fuzzy Initial Information).

  4. Zakharov, V. N. and Ul'yanov, S. V., Fuzzy Models of Intelligent Production Regulators and Control Systems. II. Evolution and Principles of Design.

  5. Bocharnikov, V. P., Optimization of Control of Fuzzy Dynamical Systems for the Case of Fuzzy Measures.

  6. Pospelov, D. A., Nechetkie mnozhestva v modelyakh upravlenia i iskusstvennogo intellekta (Fuzzy Sets in Models of Control and Artificial Intellidgence).


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