Mehdi Rajabi Asadabadi
Cited by
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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, 2018
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, 2018
A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain
MR Asadabadi
European Journal of Operational Research 263 (3), 1049-1062, 2017
The stratified multi criteria decision making method
MR Asadabadi
Knowledge Based Systems 162, 115-123, 2018
A Markovian-QFD approach in addressing the changing priorities of the customer needs
MR Asadabadi
International Journal of Quality & Reliability Management, 2016
Hidden Fuzzy Information: Requirement specification and measurement of project provider performance
MR Asadabadi, E Chang, O Zwikael, M Saberi, K Sharpe
Fuzzy Sets and Systems 383, 127-145, 2020
Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method
AE Torkayesh, B Malmir, MR Asadabadi
Waste Management 122, 100-112, 2021
Integrating Risk into Estimations of Project Activities’ Time and Cost: A Stratified Approach
MR Asadabadi, O Zwikael
European Journal of Operational Research, 2021
Targets of Unequal Importance Using the Concept of Stratification in a Big Data Environment
MR Asadabadi, M Saberi, E Chang
International Journal of Fuzzy Systems, 1-12, 2018
Letter - The concept of stratification and future applications
MR Asadabadi, M Saberi, E Chang
Applied Soft Computing 66, 292-296, 2018
Logistic informatics modelling using concept of stratification (CST)
MR Asadabadi, M Saberi, E Chang
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2017
The Ambiguity Dilemma in Procurement Projects
MR Asadabadi, K Sharpe
Journal of Business and Industrial Marketing, 2019
A fuzzy game based framework to address ambiguities in performance based contracting
MR Asadabadi, M Saberi, E Chang
Proceedings of the International Conference on Web Intelligence, 1214-1217, 2017
The ambiguous proposal evaluation problem in large-scale projects
MR Asadabadi, O Zwikael
Decision Support Systems 136, 113359, 2020
A developed slope order index (SOI) for bottlenecks in projects and production lines
MR Asadabadi
Computational Management Science 14 (2), 281, 2017
Ambiguous requirements: A semi-automated approach to identify and clarify ambiguity in large-scale projects
MR Asadabadi, M Saberi, O Zwikael, E Chang
Computers & Industrial Engineering 149, 106828, 2020
Requirement ambiguity and fuzziness in large-scale projects: The problem and potential solutions
MR Asadabadi, E Chang, K Sharpe
Applied Soft Computing 90, 106148, 2020
An Effective Project Risk Mitigation Plan: A Benefits-Oriented Model
E Merikhi, M Rajabi Asadabadi, O Zwikael
Academy of Management 2020 (1), 19106, 2020
The cost of not being clear about what you want in procurement projects
MR Asadabadi
Research Highlights, The Australian National University, 2020
Crowdsourcing to Address Requirement Ambiguity in Large-scale Projects
MR Asadabadi
The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019), 2019
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