Modification of the CRITIC method using fuzzy rough numbers

This paper presents a new approach in the modification of CRiteria Importance Through Intercriteria Correlation (CRITIC) method using fuzzy rough numbers. In modified CRITIC (CRITIC-M), normalization procedure home matrix elements was improved and aggregation function for information processing normalized improved. By introducing way normalization, smaller deviations between are obtained, which affects values standard deviation. Thus, relationships data initial decision presented more objective way. The introduction aggregating weights CRITIC-M enables comprehensive view matrix, leads to obtaining weights. A concept numbers used address uncertainties methodology.