FOOM: a fuzzy object-oriented modeling for imprecise requirements

One of the foci of the recent development in object oriented modeling (OOM) has been the extension of OOM to fuzzy logic to capture and analyze informal requirements that are imprecise in nature. A novel approach to object oriented modeling based on fuzzy logic is proposed to formulate imprecise requirements along four dimensions: (1) to extend a class by grouping objects with similar properties into a fuzzy class; (2) to encapsulate fuzzy rules in a fuzzy class to describe the relationship between attributes; (3) to evaluate the membership function of a fuzzy class by considering both static and dynamic properties; and (4) to model fuzzy associations between classes. The proposed approach is illustrated using the problem domain of a meeting scheduler system.