Asadabadi, M. R., Zwikael, O. (2020). Ambiguous Proposal Selection Problem in Large Scale Projects. Decision Support Systems. https://doi.org/10.1016/j.dss.2020.113359
Asadabadi, M. R., Saberi, M., Zwikael, O., & Chang, E. (2020). Ambiguous requirements: A semi-automated approach to identify and clarify ambiguity in large-scale projects. Computer & Industrial Engineering. https://doi.org/10.1016/j.cie.2020.106828
Asadabadi, M. R., Chang, E. Sharpe, K. (2020). Requirement ambiguity and fuzziness in large-scale projects: The problem and potential solutions. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2020.106148
Asadabadi, M. R., Zwikael, O. (2019). Integrating Risk into Estimations of Project Activities' Time and Cost: A Stratified Approach. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2019.11.018
Asadabadi, M. R., Chang, E. Zwikael, O. Saberi, M. Sharpe, K. (2019). Hidden Fuzzy Information: Requirement Specification in Large Scale Projects. Journal of Fuzzy Sets and Systems. https://doi.org/10.1016/j.fss.2019.06.017
Asadabadi, M. R., Sharpe, K. (2019). The ambiguity dilemma in government procurement processes. Business and Industrial Marketing. https://doi.org/10.1108/JBIM-05-2018-0157.
Asadabadi, M. R (2018). The stratified multi criteria decision making method. Knowledge Based Systems. 162, 115-123. https://doi.org/10.1016/j.knosys.2018.07.002
Asadabadi, M. R., Saberi, M., & Chang, E. (2018). The concept of stratification and future applications. Applied Soft Computing, 66, 292-296. https://doi.org/10.1016/j.asoc.2018.02.035
Nawaz, F. M., Asadabadi, M. R., Janjua, NK., Hussain, O., & Chang, E. (2018), Saberi, M. Cloud Service Selection Using a Markov Chain and the Best-Worst Method. Knowledge Based Systems, 159, 120-131. https://doi.org/10.1016/j.knosys.2018.06.010
Asadabadi, M. R., Saberi, M., & Chang, E. (2018). Targets of unequal importance using the concept of stratification in a big data environment. International Journal of Fuzzy Systems. 20(4), 1373-1384. https://doi.org/10.1007/s40815-017-0430-y
Aboutorab, H., Saberi, M., Asadabadi, M. R., Hussain, O., & Chang, E. (2018). ZBWM: The Z-number extension of best worst method and its application for supplier development. Expert Systems with Applications, 107, 115-125. https://doi.org/10.1016/j.eswa.2018.04.015
Asadabadi, M. R., (2017). A customer-based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain. European Journal of Operational Research. 263(3), 1049-1062. https://doi.org/10.1016/j.ejor.2017.06.006
Asadabadi, M. R. (2017). A developed slope order index (SOI) for scheduling of “m” jobs on one processor. Computational management science, 14 (2), 281-291. https://doi.org/10.1007/s10287-017-0276-7
Asadabadi, M. R. (2016). A Markovian-QFD approach in addressing changing customer needs. International Journal of Quality and Reliability Management. 33(8), 1062-1075. https://doi.org/10.1108/IJQRM-07-2014-0091
Asadabadi, M. R. (2015). A revision on EOQ/JIT indifference points. International Journal of Industrial Engineering Computations, 6(3), 305-314.2. https://doi.org/10.5267/j.ijiec.2015.4.001
Asadabadi, M. R. (2015). A hybrid QFD-based approach in addressing supplier selection problem in product improvement process. International Journal of Industrial Engineering Computations, 5(4), 543-560. https://doi.org/10.5267/j.ijiec.2014.7.005
CONFERENCES
Merikhi, E., Rajabi Asadabadi, M., & Zwikael, O. (2020). An Effective Risk Mitigation Plan: A Benefits-Oriented Model. In Academy of Management Proceedings (Vol. 2020, No. 1, p. 19106). Briarcliff Manor, NY 10510: Academy of Management.
Asadabadi, M. R. (2019). Crowdsourcing to Address Requirement Ambiguity in Large Scale Projects. The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019-Doctoral Consortium track).
Saberi, M. Asadabadi, M. R. Saberi, Z. Chang., E (2018). A Customer Oriented Assortment Selection in the Big Data Environment. The International Conference on e-Business Engineering (ICEBE).
Asadabadi, M. R. (2018). Integrating natural language processing and fuzzy logic to address contract ambiguity. INFORMS Business Analytics Conference (poster).
Asadabadi, M. R., Saberi, M., & Chang, E. (2018). Application of crowdsourcing to resolve ambiguity in the procurement process. INFORMS International Conference. https://www.informs.org/Publications/International-Meeting-Proceedings
Asadabadi, M. R., Saberi, M., & Chang, E. (2017). Logistic informatic modelling using concept of stratification (CST). In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015510
Asadabadi, M. R., Saberi, M., & Chang, E. (2017, August). A fuzzy game-based framework to address ambiguities in performance-based contracting. In Proceedings of the International Conference on Web Intelligence (pp. 1214-1217). ACM. https://doi.org/10.1145/3106426.3110323
Asadabadi, M. R., (2017). Artificial Intelligence in Contracting. The International Joint Conference on Artificial Intelligence (IJCAI 2017)
