Information technologies for formation of services on e-traiding platform

Abstract

The article considers the problem of building supply on an e-trading platform to meet the demand of the customers best. We consider a marketplace e-platform where buyers and sellers share information about their supply and demand. In our study, we used linguistic variables to design a qualitative description of the problem. The supply, demand, and functional-cost constraints of the seller are specified by the vectors of the parameters set as linguistic variables. The choice of supply options is based on the aggregation of fuzzy desires and abilities regarding each linguistic variable. In this article, the criterion for building supply is a compromise between the desire to fully meet the generalised demand of the buyers and the desire to comply with the functional-cost constraints of the seller. A discrete Choquet integral with a fuzzy measure is used as an aggregation operator. Using the Choquet integral we can determine the probability of a transaction between the seller and the buyers. The concept of a fuzzy measure makes it possible to take into account the interaction of the characteristic criteria of the product. Fuzzy densities are calculated using expert methods. In order to test the suggested approach to building supply we conducted a numerical experiment. We calculated the probability of a transaction between the seller and the buyers for a product with specific values of characteristic parameters. The results can be used to automate the services for generating seller supplies on electronic trading platforms. This can help sellers to maximise the probability of a transaction.