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Ordered fuzzy numbers

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Fuzzy counterpart of real numbers is presented. Fuzzy membership functions, which satisfy conditions similar to the quasi-convexity are considered. An extra feature, called the orientation of the curve of fuzzy membership function, is introduced. It leads to a novel concept of an ordered fuzzy number, represented by the ordered pair of real continuous functions. Arithmetic operations defined on ordered fuzzy numbers enable to avoid some drawbacks of the classical approach.
Rocznik
Strony
329--341
Opis fizyczny
Bibliogr. 19 poz., rys., wykr.
Twórcy
autor
  • Polish-Japanese Institute of Information Technology, Research Center, ul. Koszykowa 86, 02-008 Warsaw, Poland
  • The University of Bydgoszcz, Institute of Environmental Mechanics and Applied Computer Science, ul. Chodkiewicza 30, 85-064 Bydgoszcz, Poland
autor
  • Polish-Japanese Institute of Information Technology, Research Center, ul. Koszykowa 86, 02-008 Warsaw, Poland
  • The University of Regina, Department of Computer Science, Regina, Saskatchewan, Canada S4S 0A2
Bibliografia
  • [1] E. Czogała, W. Pedrycz, Elements and methods of fuzzy set theory (in Polish), PWN, Warszawa 1985.
  • [2] J. Drewniak, Fuzzy numbers (in Polish), in: Fuzzy sets and their applications, eds.: J. Chojcan, J. Łęski, WPŚ, Gliwice (2001) 103-129.
  • [3] D. Dubois, H. Prade, Operations on fuzzy numbers, Int. J. System Sci., 9 (1978) 576-578.
  • [4] D. Dubois, H. Prade, Ranking fuzzy numbers in the setting of possibility theory, Inform. Sci., 30 (1983) 183-224.
  • [5] J. Kacprzyk, Fuzzy sets in system analysis (in Polish), PWN, Warszawa 1986.
  • [6] G. J. Klir, Fuzzy arithmetic with requisite constraints, Fuzzy Sets and Systems, 91 (1997) 165-175.
  • [7] W. Kosiński, On algebraic operations on fuzzy numbers, Invited lecture at ICNNSC’2002, June 11-15, Zakopane 2002.
  • [8] W. Kosiński, K. Piechór, P. Prokopowicz, K. Tyburek, On algorithmic approach to operations on fuzzy numbers, in: Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, eds.: T. Burczyński, W. Cholewa, PACM, Gliwice (2001) 95-98.
  • [9] W. Kosiński, P. Prokopowicz, D. Ślęzak, Fuzzy numbers with algebraic operations: algorithmic approach, in: Proc. of IIS’2002, Sopot (2002) 311-320.
  • [10] W. Kosiński, P. Prokopowicz, D. Ślęzak, On algebraic operations on fuzzy reals, in: Proc. of ICNNSC’2002, June 11-15, Zakopane (2002) 54-61.
  • [11] W. Kosiński, P. Słysz, Fuzzy numbers and their quotient space with algebraic operations, Bull. Pol. Ac.: Tech., 41 (3) (1993) 285-295.
  • [12] W. Kosiński, M. Weigl, General mapping approximation problems solving by neural networks and fuzzy inference systems, Systems Analysis Modelling Simulation, 30 (1) (1998) 11-28.
  • [13] B. Martos, Nonlinear programming - Theory and methods, PWN, Warszawa 1983; Polish translation of the English original published by Akadémiai Kiadó, Budapest 1975.
  • [14] E. Sanchez, Solutions of fuzzy equations with extended operations, Fuzzy Sets and Systems, 12 (1984) 237-248.
  • [15] M. Wagenknecht, On the approximate treatment of fuzzy arithmetics by inclusion, linear regression and information content estimation, in: Fuzzy sets and their applications, eds.: J. Chojcan, J. Łęski, WPŚ, Gliwice (2001) 291-310.
  • [16] M. Wagenknecht, R. Hampel, V. Schneider, Computational aspects of fuzzy arithmetic based on Archimedean t-norms, Fuzzy Sets and Systems, 123 (1) (2001) 49-62.
  • [17] L. A. Zadeh, Fuzzy sets, Inform, and Control, 8 (1965) 338-353.
  • [18] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part I, Inform. Sci., 8 (1975) 199-249.
  • [19] L. A. Zadeh, The role of fuzzy logic in the management of uncertainty in expert systems, Fuzzy Sets and Systems, 11 (1983) 199-227.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0001-0073
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