Modeling and simulation of an adaptive neuro-fuzzy inference system (ANFIS) for mobile learning A Al-Hmouz, J Shen, R Al-Hmouz, J Yan IEEE transactions on learning technologies 5 (3), 226-237, 2011 | 346 | 2011 |
Fuzzy decision making and consensus: challenges FJ Cabrerizo, F Chiclana, R Al-Hmouz, A Morfeq, AS Balamash, ... Journal of Intelligent & Fuzzy Systems 29 (3), 1109-1118, 2015 | 220 | 2015 |
Soft consensus measures in group decision making using unbalanced fuzzy linguistic information FJ Cabrerizo, R Al-Hmouz, A Morfeq, AS Balamash, MA Martínez, ... Soft Computing 21, 3037-3050, 2017 | 161 | 2017 |
A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures JA Morente-Molinera, X Wu, A Morfeq, R Al-Hmouz, E Herrera-Viedma Information Fusion 53, 240-250, 2020 | 116 | 2020 |
Description and prediction of time series: A general framework of granular computing R Al-Hmouz, W Pedrycz, A Balamash Expert Systems with Applications 42 (10), 4830-4839, 2015 | 74 | 2015 |
The design of free structure granular mappings: The use of the principle of justifiable granularity W Pedrycz, R Al-Hmouz, A Morfeq, A Balamash IEEE Transactions on Cybernetics 43 (6), 2105-2113, 2013 | 74 | 2013 |
Hierarchical granular clustering: an emergence of information granules of higher type and higher order W Pedrycz, R Al-Hmouz, AS Balamash, A Morfeq IEEE Transactions on Fuzzy Systems 23 (6), 2270-2283, 2015 | 59 | 2015 |
Enhanced learner model for adaptive mobile learning A Al-Hmouz, J Shen, J Yan, R Al-Hmouz Proceedings of the 12th international conference on information integration …, 2010 | 55 | 2010 |
Estimating incomplete information in group decision making: A framework of granular computing FJ Cabrerizo, R Al-Hmouz, A Morfeq, MÁ Martínez, W Pedrycz, ... Applied Soft Computing 86, 105930, 2020 | 54 | 2020 |
Can we trust trusted nodes in wireless sensor networks? M Momani, S Challa, R Alhmouz 2008 International Conference on Computer and Communication Engineering …, 2008 | 54 | 2008 |
License plate localization based on a probabilistic model R Al-Hmouz, S Challa Machine Vision and Applications 21, 319-330, 2010 | 52 | 2010 |
Building granular fuzzy decision support systems W Pedrycz, R Al-Hmouz, A Morfeq, AS Balamash Knowledge-Based Systems 58, 3-10, 2014 | 50 | 2014 |
Bayesian fusion algorithm for inferring trust in wireless sensor networks M Momani, S Challa, R Alhmouz Journal of networks, 2010 | 46 | 2010 |
Designing granular fuzzy models: A hierarchical approach to fuzzy modeling W Pedrycz, R Al-Hmouz, AS Balamash, A Morfeq Knowledge-Based Systems 76, 42-52, 2015 | 38 | 2015 |
Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures R Al-Hmouz, W Pedrycz, K Daqrouq, A Morfeq, A Al-Hmouz Soft Computing 23, 407-418, 2019 | 35 | 2019 |
BNWSN: Bayesian network trust model for wireless sensor networks M Momani, S Challa, R Alhmouz 2008 Mosharaka International Conference on Communications, Computers and …, 2008 | 34 | 2008 |
Probabilistic road maps with obstacle avoidance in cluttered dynamic environment R Al-Hmouz, T Gulrez, A Al-Jumaily Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information …, 2004 | 30 | 2004 |
Logic-oriented autoencoders and granular logic autoencoders: developing interpretable data representation R Al-Hmouz, W Pedrycz, A Balamash, A Morfeq IEEE Transactions on Fuzzy Systems 30 (3), 869-877, 2020 | 27 | 2020 |
License plate localization using a statistical analysis of Discrete Fourier Transform signal R Al-Hmouz, K Aboura Computers & Electrical Engineering 40 (3), 982-992, 2014 | 26 | 2014 |
Hierarchical system modeling R Al-Hmouz, W Pedrycz, AS Balamash, A Morfeq IEEE Transactions on Fuzzy Systems 26 (1), 258-269, 2017 | 25 | 2017 |