Uneingeschränkter Zugang

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


Zitieren

[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.2003.10.048Search in Google Scholar

[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.2004.06.113Search in Google Scholar

[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.2005.04.092Search in Google Scholar

[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.2006.01.073Search in Google Scholar

[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.2007.11.026Search in Google Scholar

[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.Search in Google Scholar

[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.2010.5461380Search in Google Scholar

[8] Zimmerman, H. J. (1996). Fuzzy Set theory and its Application (second edition), Allied Publishers, Indian Reprint.Search in Google Scholar

[9] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE Int. Conf. Neural Networks, vol. IV, pp. 1942-1948, 1995.10.1109/ICNN.1995.488968Open DOISearch in Google Scholar

[10] R.E. Moore, Interval analysis, Prentice-Hall, Englewood Cliffs, NJ, 1966.Search in Google Scholar

[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.2016.7737722Search in Google Scholar

[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.2015.2514121Open DOISearch in Google Scholar

[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.2015.02.002Search in Google Scholar

[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.Search in Google Scholar

eISSN:
2083-2567
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Künstliche Intelligenz, Datanbanken und Data Mining