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Type-reduction of the discretised interval type-2 fuzzy set : approaching the continuous case through progressively finer discretisation

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Języki publikacji
EN
Abstrakty
EN
The defuzzification of a type-2 fuzzy set is a two stage process consisting of firstly type-reduction, and secondly defuzzification of the resultant type-1 set. This paper considers three approaches to discrete interval type-reduction: 1. The exhaustive method which produces the Type-Reduced Set, 2. the Greenfield-Chiclana Collapsing Defuzzifier which gives rise to the Representative Embedded Set Approximation, and 3. the Nie-Tan Method from which the Nie-Tan Set is derived. In the discrete case these three type-1 sets are distinct. The behavior of the three sets under fine discretisation is investigated experimentally, in order to shed light on the relationships between the continuous versions of these type-1 sets.
Rocznik
Strony
183--193
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
  • Centre for Computational Intelligence Faculty of Technology, De Montfort University Leicester, LE1 9BH, UK
autor
  • Centre for Computational Intelligence Faculty of Technology, De Montfort University Leicester, LE1 9BH, UK
Bibliografia
  • [1] Sarah Greenfield. Matlab code for interval type-2 defuzzification, February 2011.http://www.tech.dmu.ac.uk/˜sarahg/.
  • [2] Sarah Greenfield, Francisco Chiclana, Simon Coupland, and Robert I. John. The collapsing method of defuzzification for discretised interval type-2 fuzzy sets. Information Sciences: Special Section on Higher Order Fuzzy Sets, 179(13):2055–2069, June 2008.
  • [3] Sarah Greenfield, Francisco Chiclana, and Robert I. John. The collapsing method: Does the direction of collapse affect accuracy? In Proceedings of IFSA-EUSFLAT 2009, pages 980–985, Lisbon, Portugal, July 2009.
  • [4] Sarah Greenfield, Francisco Chiclana, and Robert I. John. Type-reduction of the discretised interval type-2 fuzzy set. In Proceedings of FUZZ-IEEE 2009, pages 738–743, Jeju Island, Korea, August 2009.
  • [5] Nilesh N. Karnik and Jerry M. Mendel. Centroid of a type-2 fuzzy set. Information Sciences, 132:195–220, 2001.
  • [6] G. J. Klir and B. Yuan. Fuzzy Sets and Fuzzy Logic. Prentice-Hall P T R, 1995.
  • [7] George J. Klir and Tina A. Folger. Fuzzy sets, Uncertainty, and Information. Prentice-Hall International, 1992.
  • [8] Jerry M. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall PTR, 2001.
  • [9] Maowen Nie and Woei Wan Tan. Towards an efficient type-reduction method for interval type-2 fuzzy logic systems. In Proceedings of FUZZIEEE 2008, pages 1425–1432, Hong Kong, June 2008.
  • [10] Lotfi Zadeh. Fuzzy Sets. In Information and Control 8, pp. 338–353. Elsevier Inc., 1965.
  • [11] Lotfi A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8:199–249, 1975.
  • [12] Lotfi A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning –II. Information Sciences, 8:301–357, 1975.
  • [13] Lotfi A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning – III. Information Sciences, 9:43–80, 1975.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-02e282a9-23e7-4f56-8edf-10ebee6a326a
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