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Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations Cover

Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations

Open Access
|Nov 2017

References

  1. [1] S. Abbasbandy, B. Asady, Newton’s method for solving fuzzy nonlinear equations, Applied Mathematics and Computation, Volume 159, Issue 2, Pages 349-356, ISSN 0096-3003.10.1016/j.amc.2003.10.048
  2. [2] M. Tavassoli Kajani, B. Asady, A. Hadi Vencheh, An iterative method for solving dual fuzzy nonlinear equations, Applied Mathematics and Computation, Volume 167, Issue 1, Pages 316-323, ISSN 0096-3003.10.1016/j.amc.2004.06.113
  3. [3] S. Abbasbandy, A. Jafarian, Steepest descent method for solving fuzzy nonlinear equations, Applied Mathematics and Computation, Volume 174, Issue 1, Pages 669-675.10.1016/j.amc.2005.04.092
  4. [4] S. Abbasbandy, M. Otadi, Numerical solution of fuzzy polynomials by fuzzy neural network, Applied Mathematics and Computation, Volume 181, Issue 2, Pages 1084-1089, ISSN 0096-3003.10.1016/j.amc.2006.01.073
  5. [5] S. Abbasbandy, M. Otadi, M. Mosleh, Numerical solution of a system of fuzzy polynomials by fuzzy neural network, Information Sciences, Volume 178, Issue 8, Pages 1948-1960, ISSN 0020-0255.10.1016/j.ins.2007.11.026
  6. [6] R. Boukezzoula and S. Marteau, Exact solving of the fuzzy equation: A.X2 + B.X = C, The 14th IEEE International Conference on Fuzzy Systems, FUZZ ’05., Reno, NV, 2005, pp. 1110-1115.
  7. [7] G. Zhou and Y. Gan, Hybrid conjugate gradient method for solving fuzzy nonlinear equations, Logistics Systems and Intelligent Management, 2010 International Conference on, Harbin, 2010, pp. 462-464.10.1109/ICLSIM.2010.5461380
  8. [8] Zimmerman, H. J. (1996). Fuzzy Set theory and its Application (second edition), Allied Publishers, Indian Reprint.
  9. [9] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE Int. Conf. Neural Networks, vol. IV, pp. 1942-1948, 1995.10.1109/ICNN.1995.488968
  10. [10] R.E. Moore, Interval analysis, Prentice-Hall, Englewood Cliffs, NJ, 1966.
  11. [11] S. Sadiqbatcha, and S. Jafarzadeh, An Analytical Approach to Solving Type-1 and Type-2 Fully Fuzzy Linear Systems of Equations, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, 2016.10.1109/FUZZ-IEEE.2016.7737722
  12. [12] B. Wu, W. Zhu, N. Yan, X. Feng, Q. Xing and Q. Zhuang, An Improved Method for Deriving Daily Evapotranspiration Estimates From Satellite Estimates on Cloud-Free Days, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1323-1330, 2016.10.1109/JSTARS.2015.2514121
  13. [13] K. Djaman, A. B. Balde, A. Sow, B. Muller, S. Irmak, M. K. N’Diaye, B. Manneh, Y. D. Moukoumbi, K. Futakuchi, K. Saito, Evaluation of sixteen reference evapotranspiration methods under sahelian conditions in the Senegal River Valley, Journal of Hydrology: Regional Studies, vol 3, pp. 139-159, ISSN 2214-5818.10.1016/j.ejrh.2015.02.002
  14. [14] Allen, R.G., L.S. Pereira, D. Raes, and M. Smith. 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56. United Nations Food and Agricultural Organization, Rome.
Language: English
Page range: 103 - 110
Submitted on: Jan 30, 2017
Accepted on: Mar 31, 2017
Published on: Nov 1, 2017
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Sheriff Sadiqbatcha, Saeed Jafarzadeh, Yiannis Ampatzidis, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.