Have a personal or library account? Click to login
Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures Cover

Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures

Open Access
|Aug 2016

References

  1. [1] K. W. Wong, T. D. Gedeon, L. T. Kóczy, Construction of fuzzy signature from data: an example of SARS pre-clinical diagnosis system, in: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2004), Budapest, Hungary, 2004, pp.1649-1654.
  2. [2] Á. Ballagi, L. T. Kóczy, T. D. Gedeon, Robot cooperation without explicit communication by fuzzy signatures and decision trees, in: Proceedings of theJoint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT2009), Lisbon, Portugal, 2009, pp.1468-1473.
  3. [3] T. Vámos, L. T. Kóczy , G. Biró, Fuzzy signatures in datamining, in: Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada, 2001, pp. 2842-2846 (5).
  4. [4] G. Molnárka, L. T. Kóczy, Decision Support System for Evaluating Existing Apartment Buildings Based on Fuzzy Signatures, Int. J. of Computers , Communications & Control, 2011, No. 3, pp. 442-457.10.15837/ijccc.2011.3.2129
  5. [5] C. Pozna, N. Minculete, R. E. Precup, L. T. Kóczy, Á. Ballagi, Signatures: Definitions, operators and applications to fuzzy modelling, Fuzzy Sets and Systems 201 (2012), pp. 86-104.
  6. [6] L. T. Kóczy, T. Vámos, G. Biró, Fuzzy signatures, in: Proceedings of the 4th Meeting of the Euro Working Group on Fuzzy Sets and the 2nd International Conference on Soft and Intelligent Computing (EUROPUSE-SIC99), Budapest, Hungary, 1999, pp. 210-217.
  7. [7] J.A.Goguen, L-fuzzy sets, J. Math. Anal. Appl. 18(1) (1967), pp. 145-174.
  8. [8] I. Á. Harmati, Á. Bukovics, L. T. Kóczy, Sensitivity Analysis of the Weighted Generalized Mean Aggregation Operator and its Application to Fuzzy Signatures, IEEE World Congress on Computational Intelligence (WCCI 2014 - FUZZ-IEEE 2014). Peking, Kna, 2014.07.06-2014.07.11. New York: IEEE, 2014. pp. 1327-1332.10.1109/FUZZ-IEEE.2014.6891814
  9. [9] U. Kaymak, H.R. van Nauta Lemke, T. Boer: A sensitivity-based analysis of weighted fuzzy aggregation, In: Proceedings of the IEEE World Congress on Computational Intelligence, IEEE International Conference on Fuzzy Systems, IEEE, 1998. pp. 755-760.
  10. [10] V. Torra: Sensitivity analysis for WOWA, OWA and WM operators, In: Proceedings of ISIE 2001, IEEE International Symposium on Industrial Electronics, IEEE, 2001. pp. 134-137.
  11. [11] M. Zarghami, F. Szidarovszky: Fuzzy quantifiers in sensitivity analysis of OWA operator, Computers & Industrial Engineering 54 (2008), pp. 1006-1018.
  12. [12] G. H. Hardy, J. E. Littlewood, G. Pólya: Inequalities, Cambridge University Press, 1952.
  13. [13] P. S. Bullen: Handbook of means and their inequalities, Kluwer Academic Publishers, 2003.10.1007/978-94-017-0399-4
  14. [14] G. H. Golub, C. F. van Loane: Matrix computations, John Hopkins University Press, 1996.
  15. [15] Á. Bukovics, L.T. Kóczy, Fuzzy Signature-based Model for Qualification and Ranking of Residential Buildings, XXXVIII. IAHSWorld Congress on Housing, Istanbul, Turkey, 2012. pp. 290-297
Language: English
Page range: 219 - 229
Published on: Aug 10, 2016
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 István Á. Harmati, Ádám Bukovics, László T. Kóczy, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.