PL EN


2014 | 199 | 82-91
Article title

Przedziałowe sterowniki rozmyte w zarządzaniu informacją o zanieczyszczeniach powietrza

Content
Title variants
EN
Interval-Valued Fuzzy Controllers in The Management of Information on Air Pollution
Languages of publication
PL
Abstracts
EN
This article is a continuation of research on the possibilities of the use of fuzzy logic systems and higher-order fuzzy logic to control the air filters to reduce emissions of nitrogen oxides. The control process is non-linear, therefore, it is reasonable to use the fuzzy controllers. Described in this paper an interval-valued fuzzy controller (in sense Mamdani) uses interval-valued fuzzy sets compartments. They describe the use of terms of linguistic levels of nitrogen oxides at the input of the system and the degree of opening of the metering valve in the filter ammonia, based on data obtained from an expert. Using IF-THEN rules interval-valued fuzzy controller calculates the value of the output of the filter set on the basis of the analysis of data-input. The results obtained are very highly consistent with the data provided by the expert and better compared to those obtained with the traditional fuzzy controller, the use of which is presented in the articles.
Year
Volume
199
Pages
82-91
Physical description
Contributors
References
  • Christian R.A., Lad R.K., Deshpande A.W., Desai N.G., Fuzzy MCDM Approach for Addressing Composite Index of Water and Air Pollution Potential of Industries, "International Journal of Digital Content Technology and its Applications" 2008, Vol. 2, No. 2.
  • Cirstea M.N., Dimu A., Khor J.G., McCormick M., Neural and Fuzzy Logic Control of Drives and Power Systems, Newnes, Oxford, Woburn 2002.
  • Kacprowicz M., Niewiadomski A., Managing Data on Air Pollution Using Fuzzy Controller [in:] Computer Methods in Practice, eds. A. Cader, M. Yatsymirskyy, K. Przybyszewski, Akademicka Oficyna Wydawnicza EXIT, Warszawa 2012.
  • Niewiadomski A., Methods for the Linguistic Summarization of Data: Applications of Fuzzy Sets and Their Extensions, Akademicka Oficyna Wydawnicza EXIT, Warszawa 2008.
  • Rozporządzenie Ministra Ochrony Środowiska, Zasobów Naturalnych i Leśnictwa. Dz.U.1998.121.793,Warszawa, 8 września 1998.
  • Rutkowska D., Piliński M., Rutkowski L., Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, Wydawnictwo Naukowe PWN, Warszawa-Łódź 1997.
  • Sengupta A., Pal T.K., Chakraborty D., Interpretation of Inequality Constraints Invloving Interval Coefficients and a Solution to Interval Linear Programing, "Fuzzy Sets and Systems" 2001, 119, s. 129-138.
  • Tomsovic K., Fuzzy Systems Applications to Power Systems, 2000.
  • Wierzchoń S.T., Elementy teorii zbiorów rozmytych, www.ipipan.waw.pl/stw/esi/ sterowniki.pdf, 2009.
Document Type
Publication order reference
Identifiers
ISSN
2083-8611
YADDA identifier
bwmeta1.element.desklight-29f33087-00e4-4469-bd24-a56fdfbe436b
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