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Now showing items 1-10 of 128

A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles.

Martinez, J. S.; John, Robert, 1955-; Hissel, D.; Péra, Marie-Cécile (Elsevier, 2011)

A support vector-based interval Type-2 fuzzy system.

Uslan, Volkan; Seker, Huseyin; John, Robert, 1955- (IEEE, 2014)

An interval type-2 fuzzy multiple echelon supply chain model.

Miller, Simon; John, Robert, 1955- (Elsevier, 2010)

Multi-objective evolutionary simulation-optimisation of a real-world manufacturing problem

Syberfeldt, Anna; Ng, Amos H. C.; John, Robert, 1955-; Moore, Philip R. (Elsevier, 2009)

Tuning fuzzy systems by simulated annealing to predict time series with added noise.

Almaraashi, Majid; John, Robert, 1955- (IEEE, 2010)

Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling.

Syberfeldt, Anna; Ng, Amos H. C.; John, Robert, 1955-; Moore, Philip R. (Elsevier, 2010-08)

Unknown nonlinear chaotic gyros synchronization using adaptive fuzzy sliding mode control with unknown dead-zone input.

Roopaei, M.; Jahromi, M. Z.; John, Robert, 1955-; LIn, T. C. (Elsevier, 2010)

Non-intrusive speech quality prediction in VoIP networks using a neural network approach.

Al-Akhras, Mousa Tawfiq; Zedan, Hussein; John, Robert, 1955-; Almomani, I. (Elsevier, 2009-06)

Learning of Interval and General Type-2 Fuzzy Logic Systems using Simulated Annealing: Theory and Practice

Almaraashi, M.; John, Robert, 1955-; Hopgood, A.; Ahmadi, S. (Elsevier, 2016-04-01)

This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the ...

Relationship between intuitionistic fuzzy similarity measures.

Baccour, L.; Alimi, A. M.; John, Robert, 1955- (IEEE, 2011)

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