Editorial member


Soheil Sadi-Nezhad University of Waterloo, Canada
Email: sadinejad@hotmail.com


Soheil Sadi-Nezhad

Golpîra, H., Najafi, E., Zandieh, M., & Sadi-Nezhad, S. (2017). Robust bi-level optimization for green opportunistic supply chain network design problem against uncertainty and environmental risk. Computers & Industrial Engineering, 107, 301-312.

Mahmoudi, A., Sadi-Nezhad, S., & Makui, A. (2016). A hybrid fuzzy-intelligent system for group multi-attribute decision making. International Journal of Fuzzy Systems, 18(6), 1117-1130.

Mahmoudi, A., Sadi-Nezhad, S., & Makui, A. (2016). An extended fuzzy VIKOR for group decision-making based on fuzzy distance to supplier selection. Scientia Iranica. Transaction E, Industrial Engineering, 23(4), 1879.

Sadi-Nezhad, S. (2017). Measuring the effect of e-business on organizational performance in project based organizations. Journal of Project Management, 2(4), 113-118.

Sotoudeh-Anvari, A., Najafi, E., & Sadi-Nezhad, S. (2016). A new data envelopment analysis in fully fuzzy environment on the base of the degree of certainty of information. Journal of Intelligent & Fuzzy Systems, 30(6), 3131-3142.

Mahmoudi, A., Mahmoudi, A., Sadi-Nezhad, S., Sadi-Nezhad, S., Makui, A., Makui, A., ... & Vakili, M. R. (2016). An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem. Kybernetes, 45(8), 1213-1231.

Sadi-Nezhad, S., & Sotoudeh-Anvari, A. (2016). A new Data Envelopment Analysis under uncertain environment with respect to fuzziness and an estimation of reliability. Opsearch, 53(1), 103-115.

Sadi Nezhad, S., & Bashshash, L. (2009). Designing a fuzzy rule-based system for selecting the proper lot-sizing technique. Paper presented at the IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, 1062-1066.

Sadi-Nezhad, S., & Akhtari, P. (2008). Possibilistic programming approach for fuzzy multidimensional analysis of preference in group decision making. Applied Soft Computing Journal, 8(4), 1703-1711.

Sadi-Nezhad, S., & Damghani, K. K. (2010). Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance. Applied Soft Computing Journal, 10(4), 1028-1039.

Sadi-Nezhad, S., & Darian, S. B. (2010). Production scheduling for products on different machines with setup costs and times. International Journal of Engineering and Technology, 2(6), 410-418.

Sadi-Nezhad, S., Didehkhani, H., & Seyedhosseini, S. M. (2008). Developing a fuzzy ANP model for selecting the suitable dispatching rule for scheduling a FMS. Paper presented at the 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, 405-409.

Sadi-Nezhad, S., Etaati, L., & Makui, A. (2010). A fuzzy ANP model for evaluating e-learning platform

Sadi-Nezhad, S., Khalili Damghani, K., & Pilevari, N. (2010). Application of 0-1 fuzzy programming in optimum project selection. World Academy of Science, Engineering and Technology, 64, 335-339.

Sadi-Nezhad, S., Nahavandi, S. M., & Nazemi, J. (2011). Periodic and continuous inventory models in the presence of fuzzy costs. International Journal of Industrial Engineering Computations, 2(1), 167-178.

Damghani, K. K., Sadi-Nezhad, S., & Aryanezhad, M. B. (2011). A modular decision support system for optimum investment selection in presence of uncertainty: Combination of fuzzy mathematical programming and fuzzy rule based system. Expert Systems with Applications, 38(1), 824-834.

Ehsani, M., Makui, A., & Sadi Nezhad, S. (2010). A methodology for analyzing decision networks, based on information theory. European Journal of Operational Research, 202(3), 853-863.

Etaati, L., Sadi-Nezhad, S., & Makue, A. (2011). Using fuzzy group analytical network process and ISO 9126 quality model in software selection: A case study in E-learning systems. Journal of Applied Sciences, 11(1), 96-103.

Khalili-Damghani, K., & Sadi-Nezhad, S. (2013). A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection. Applied Soft Computing Journal, 13(1), 339-352.

Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, F. H., & Tavana, M. (2013). A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences, 220, 442-462.

Khalili-Damghani, K., Tavana, M., & Sadi-Nezhad, S. (2012). An integrated multi-objective framework for solving multi-period project selection problems. Applied Mathematics and Computation, 219(6), 3122-3138.

Mehdizadeh, E., Sadi-Nezhad, S., & Tavakkoli-Moghaddam, R. (2008). Optimization of fuzzy clustering criteria by a hybrid PSO and fuzzy c-means clustering algorithm. Iranian Journal of Fuzzy Systems, 5(3), 1-14.

Mikhailov, L., Didehkhani, H., & Sadi-Nezhad, S. (2011). Weighted prioritization models in the fuzzy analytic hierarchy process. International Journal of Information Technology and Decision Making, 10(4), 681-694.

Modarres, M., & Sadi-Nezhad, S. (2005). Fuzzy simple additive weighting method by preference ratio. Intelligent Automation and Soft Computing, 11(4), 235-244.

Modarres, M., & Sadi-Nezhad, S. (2001). Ranking fuzzy numbers by preference ratio. Fuzzy Sets and Systems, 118(3), 429-436.

Modarres, M., Sadi-Nezhad, S., & Arabi, F. (2010). Fuzzy analytical hierarchy process using preference ratio: A case study for selecting management short course in a business school. International Journal of Industrial Engineering Computations, 1(2), 173-184.

Nezhad, S. S., & Assadi, R. G. (2008). Preference ratio-based maximum operator approximation and its application in fuzzy flow shop scheduling. Applied Soft Computing Journal, 8(1), 759-766.