Associated Statistical Parameters’ Aggregations in Interactive MADM

From recent studies, the concept of “monotone expectation” (ME) Interactive Multi-Attribute Decision Making (MADM) is well known, which was developed for case different fuzzy sets. This article develops such statistical parameters as variance, k-order moment and covariance. We investigate problem definition some parameters, when uncertainty represented by a monotone measure—a measure—instead an additive measure. The study presents based on Choquet finite integral expectation, Associated are also presented—expectation, covariance—which defined in relation to associated probabilities It shown that one particular relevant parameter out total number n! parameters. aggregations with used interactive MADM models take into account interactions focal elements only consonant structure from structures attributes. In order all attributes, were expanded F-associated Expansion correctness implies if dual second-order capacities taken measures aggregation then coincide corresponding A scheme embedding new operators, model has been developed. Specific numerical examples presented illustrate obtained results.