Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/762
Title: | Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model | Authors: | Pamučar D. Ćirović, Goran Božanić D. |
Issue Date: | 1-Jan-2019 | Journal: | Yugoslav Journal of Operations Research | Abstract: | © 2019 Faculty of Organizational Sciences, Belgrade. All rights reserved. This paper presents a new approach for the treatment of uncertainty and imprecision based on interval-valued fuzzy-rough numbers (IVFRNs). IVFRNs make a decision making possible using only the internal knowledge from the data, using objective indeterminacy without the need to rely on models of any assumption. Namely, instead of subjectively entering external uncertainties, the structure of the given data is used. Taking into account the given assumptions, we developed an original multi-criteria model based upon the IVFR approach. In the multi-criteria model the traditional MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method was modified. The model was tested and validated on a case study, considering selection of the optimal landing operations point for overcoming water obstacles. The sensitivity analysis of the IVFRN MAIRCA model was carried out through 24 scenarios which showed that our results are of a high stability degree. | URI: | https://open.uns.ac.rs/handle/123456789/762 | ISSN: | 3540243 | DOI: | 10.2298/YJOR180415011P |
Appears in Collections: | FTN Publikacije/Publications |
Show full item record
SCOPUSTM
Citations
37
checked on May 10, 2024
Page view(s)
54
Last Week
9
9
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.