RAF - Repository of the Faculty of Architecture
University of Belgrade, Faculty of Architecture
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   RAF
  • Arhitektonski fakultet
  • Publikacije istraživača / Researchers' publications
  • View Item
  •   RAF
  • Arhitektonski fakultet
  • Publikacije istraživača / Researchers' publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model

Thumbnail
2017
10.1016@j.eswa.2017.06.037.pdf (8.025Mb)
Authors
Pamučar, Dragan
Mihajlović, Milan
Obradović, Radojko
Atanasković, P.
Article (Accepted Version)
Metadata
Show full item record
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 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.

Keywords:
ANP / DEMATEL / Interval rough numbers / MAIRCA / Public procurements
Source:
Expert systems with applications, 2017, 88, 58-80
Publisher:
  • Elsevier Ltd
Note:
  • This is the peer-reviewed version of: Pamučar, Dragan, Milan Mihajlović, Radojko Obradović, and Predrag Atanasković. 2017. ‘Novel Approach to Group Multi-Criteria Decision Making Based on Interval Rough Numbers: Hybrid DEMATEL-ANP-MAIRCA Model’. Expert Systems with Applications 88 (December): 58–80. https://doi.org/10.1016/j.eswa.2017.06.037

DOI: 10.1016/j.eswa.2017.06.037

ISSN: 0957-4174

WoS: 000408789300005

Scopus: 2-s2.0-85021656933
[ Google Scholar ]
153
111
URI
https://raf.arh.bg.ac.rs/handle/123456789/397
Collections
  • Publikacije istraživača / Researchers' publications
Institution/Community
Arhitektonski fakultet
TY  - JOUR
AU  - Pamučar, Dragan
AU  - Mihajlović, Milan
AU  - Obradović, Radojko
AU  - Atanasković, P.
PY  - 2017
UR  - https://raf.arh.bg.ac.rs/handle/123456789/397
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 . .

DSpace software copyright © 2002-2015  DuraSpace
About RAF | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About RAF | Send Feedback

OpenAIRERCUB