This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios o...f sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.
TY - JOUR
AU - Pamučar, Dragan
AU - Mihajlović, Milan
AU - Obradović, Radojko
AU - Atanasković, P.
PY - 2017
UR - https://raf.arh.bg.ac.rs/handle/123456789/251
AB - This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.
PB - Elsevier Ltd
T2 - Expert systems with applications
T1 - Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model
VL - 88
SP - 58
EP - 80
DO - 10.1016/j.eswa.2017.06.037
ER -
@article{
author = "Pamučar, Dragan and Mihajlović, Milan and Obradović, Radojko and Atanasković, P.",
year = "2017",
abstract = "This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.",
publisher = "Elsevier Ltd",
journal = "Expert systems with applications",
title = "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model",
volume = "88",
pages = "58-80",
doi = "10.1016/j.eswa.2017.06.037"
}
Pamučar, D., Mihajlović, M., Obradović, R.,& Atanasković, P.. (2017). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications
Elsevier Ltd., 88, 58-80.
https://doi.org/10.1016/j.eswa.2017.06.037
Pamučar D, Mihajlović M, Obradović R, Atanasković P. Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. in Expert systems with applications. 2017;88:58-80.
doi:10.1016/j.eswa.2017.06.037 .
Pamučar, Dragan, Mihajlović, Milan, Obradović, Radojko, Atanasković, P., "Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model" in Expert systems with applications, 88 (2017):58-80,
https://doi.org/10.1016/j.eswa.2017.06.037 . .
