摘要：Highlights•Innovations in the measurement of research variables with the transformation of linguistic values into crisp values of research variable dimensions, usingfuzzylogic.•Identification of crucial dimensions and indicators for the measurement of practice and performance of a supply chain.•Establishing the model for research into the effects of practice on the supply chain performance.•Forming the methodology for integration of the methods of multivariate and multi-criteria analysis.•Determining the importance of certain claims within the research variables using the method for the objective determining of weighting coefficients.AbstractThe objective of this research is to show an innovative way for processing the collected data and measurement of practice and performances of supply chain by means of transformation of the obtained linguistic values, using the appropriatefuzzymethods, into crisp values of research variable dimensions.The methodology was applied for the measurement of the influence of an independent supply chain practice variable on the dependent supply chain performance variable and the research included the food industry companies. In order to apply the multivariate analysis methods, it is necessary to have the dimensions of the variable, but not the claims.Fuzzylogic enables the weighting of each claim and determining its weight, and determining the research variable dimension value in order to be able to use the multivariate analysis methods. The use of this methodology enables realistic evaluation of the dimensions and the results obtained show a statistically significant influence proving to be suitable for further testing using various statistical methods. The hypotheses about the relationships between supply chain practices and supply chain performances are confirmed.
