Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
By Abbas Mardani, Ahmad Jusoh, Khalil Md Nor, Z. Khalifah, N. Zakwan, Alireza Valipour. 2015
982 citations recorded by the source corpus.
Multiple criteria decision-making (MCDM) is considered as a complex decision-making (DM) tool involving both quantitative and qualitative factors. In recent years, several MCDM techniques and approaches have been suggested to choosing the optimal probable options. The purpose of this article is to systematically review the applications and methodologies of the MCDM techniques and approaches. This study reviewed a total of 393 articles published from 2000 to 2014 in more than 120 peer reviewed journals (extracted from Web of Science). According to experts’ opinion, these articles were grouped into 15 fields. Furthermore, these articles were categorised based on authors, publication date, name of journals, methods, tools, and type of research (MCDM utilising research, MCDM developing research, and MCDM proposing research). The results of this study indicated that in 2013 scholars have published articles more than in other years. In addition, the analytic hierarchy process (AHP) method in the individual tools and hybrid MCDM in the integrated methods were ranked as the first and second methods in use. Additionally, the European Journal of Operational Research as the first journal with 70 publications was the significant journal in this study. Finally, energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.
Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/3858fcb55dbbb50dad82ac314ba3580d13601a9b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Abbas Mardani
- Norhayati Zakuan
- Somayeh Soheilirad
- M. Saman
- Mehrbakhsh Nilashi
- Othman bin Ibrahim
- Nanthakumar Loganathan
- E. Lozano-Mínguez
In Management, Monitoring, Policy and Law
- E. Lozano-Mínguez
- Athanasios Kolios
- Konstantinos Salonitis
- Varvara Mytilinou
- Zeshui Xu
- Nanthakumar Loganathan
- Marinko Skare
- Guiwu Wei
In Management Science and Operations Research
- Abbas Mardani
- M. Saman
- Norhayati Zakuan
- Somayeh Soheilirad
- Mehrbakhsh Nilashi
- Othman bin Ibrahim
- Nanthakumar Loganathan
- E. Lozano-Mínguez
Citations in the corpus
- A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019) (2020, background): “The top 3 cited publications are all reviews (Mardani et al., 2015; Zavadskas et al., 2016; Keshavarz Ghorabaee et al., 2017), and the research contents are all about decision making, which has been widely studied from basic theory and practical application (Wang et al., 2019).”
- A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, background): “Mardani, Jusoh, Md Nor, Khalifah, Zakwan and Valipour [74] and”
- Evaluating the factors that influence blockchain adoption in the freight logistics industry (2020, methodology): “AHP happens to be one of the most heavily used MCDA methodologies among the many tools used for aiding such similar strategic and multi-criteria task (Mardani et al., 2015) but unfortunately the method falls short for this study’s evaluation.”
- A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs (2016, methodology): “Many instances of the applications of fuzzy MCDM methods can be found in [47,48], where it was highlighted that most of the applications had selected to implement variants based on AHP.”
- A Comparative Analysis of the Rank Reversal Phenomenon in the EDAS and TOPSIS Methods (2018, methodology): “Various MCDM techniques and their applications were reviewed by Mardani et al. (2015), a comprehensive review of MCDM techniques in fuzzy environment was provided by Kahraman et al. (2015).”