Uncertain Decision-Making Requirements Formalizing with Complement Fuzzy UML Model

Unified Modeling Language (UML) is not a design method but rather a graphic language to represent and communicate the different aspects of an information system. Among the most important research areas in information systems is the enrichment of existing models with a larger collection of semantic concepts, hence the appearance of its extension Fuzzy UML, which despite its advantages to represent qualitative concepts, also suffers from certain restrictions for the uncertain data representation and whose the literature shows that few works are interested in the resolution of this type of problem. In the context of expressing uncertain decision-making requirements, no known solution is proposed to represent data reflecting uncertain requirements. Our contribution presents a flexible process for expressing decision-making requirements by evaluating uncertainty by formalization using our CFUML model and the representation of decision-maker preferences by one or more mass functions using belief theory. In this article, we will only present our proposed model CFUML.