Dr Morteza Saberi
Cited by
Cited by
Support vector regression with chaos-based firefly algorithm for stock market price forecasting
A Kazem, E Sharifi, FK Hussain, M Saberi, OK Hussain
Applied soft computing 13 (2), 947-958, 2013
Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption
A Azadeh, SF Ghaderi, S Tarverdian, M Saberi
Applied mathematics and computation 186 (2), 1731-1741, 2007
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development
H Aboutorab, M Saberi, MR Asadabadi, O Hussain, E Chang
Expert Systems with Applications 107, 115-125, 2018
Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP)
MR Asadabadi, E Chang, M Saberi
Cogent Engineering 6 (1), 1623153, 2019
A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization
A Azadeh, M Saberi, A Kazem, V Ebrahimipour, A Nourmohammadzadeh, ...
Applied Soft Computing 13 (3), 1478-1485, 2013
Performance evaluation of integrated resilience engineering factors by data envelopment analysis: The case of a petrochemical plant
A Azadeh, V Salehi, B Ashjari, M Saberi
Process Safety and Environmental Protection 92 (3), 231-241, 2014
An MCDM method for cloud service selection using a Markov chain and the best-worst method
F Nawaz, MR Asadabadi, NK Janjua, OK Hussain, E Chang, M Saberi
Knowledge-Based Systems 159, 120-131, 2018
An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: a case study of Iran
A Azadeh, M Saberi, O Seraj
Energy 35 (6), 2351-2366, 2010
Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
A Azadeh, M Saberi, SF Ghaderi, A Gitiforouz, V Ebrahimipour
Energy Conversion and Management 49 (8), 2165-2177, 2008
Improved estimation of electricity demand function by using of artificial neural network, principal component analysis and data envelopment analysis
A Kheirkhah, A Azadeh, M Saberi, A Azaron, H Shakouri
Computers & Industrial Engineering 64 (1), 425-441, 2013
Z-AHP: A Z-number extension of fuzzy analytical hierarchy process
A Azadeh, M Saberi, NZ Atashbar, E Chang, P Pazhoheshfar
2013 7th IEEE International Conference on Digital Ecosystems and …, 2013
Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA
M Jahangoshai Rezaee, S Yousefi, M Eshkevari, M Valipour, M Saberi
Stochastic environmental research and risk assessment 34 (1), 201-218, 2020
A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE
A Azadeh, SM Asadzadeh, M Saberi, V Nadimi, A Tajvidi, M Sheikalishahi
Applied Energy 88 (11), 3850-3859, 2011
A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation
A Azadeh, M Saberi, A Gitiforouz, Z Saberi
Expert Systems with Applications 36 (8), 11108-11117, 2009
An integrated data envelopment analysis–artificial neural network–rough set algorithm for assessment of personnel efficiency
A Azadeh, M Saberi, RT Moghaddam, L Javanmardi
Expert Systems with Applications 38 (3), 1364-1373, 2011
Performance assessment of electric power generations using an adaptive neural network algorithm
A Azadeh, SF Ghaderi, M Anvari, M Saberi
Energy Policy 35 (6), 3155-3166, 2007
GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
MJ Rezaee, M Eshkevari, M Saberi, O Hussain
Knowledge-Based Systems 213, 106672, 2021
A flexible fuzzy regression algorithm for forecasting oil consumption estimation
A Azadeh, M Khakestani, M Saberi
Energy Policy 37 (12), 5567-5579, 2009
Past, present and future of contact centers: a literature review
M Saberi, OK Hussain, E Chang
Business Process Management Journal 23 (3), 2017
An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units
A Azadeh, SF Ghaderi, M Anvari, M Saberi, H Izadbakhsh
Applied Mathematics and computation 187 (2), 584-599, 2007
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