Decision support models for selecting artificial intelligence tools in the design of marketing web-based information and communication systems

Abstract

The established methods of digital product design contain no mechanism for selecting an AI toolkit, although this choice predetermines the cost, schedule and scalability of a web system. A decision support model is proposed that formalises the selection as the minimisation of a weighted distance between an eight-criteria project profile and the reference profiles of the alternatives, returning a hybrid configuration when the pure strategies are indistinguishable.