Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model
DOI:
https://doi.org/10.2298/YJOR180415011PKeywords:
Rough Numbers, Fuzzy Sets, Interval-Valued Fuzzy-Rough Numbers, Multi-Criteria Decision Making, MAIRCA, MABAC, VIKOR, TOPSISAbstract
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.References
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