B ecause there is no systematic way in existing use-case approaches to handle nonfunctional requirements, the authors propose an approach to analyze and evaluate use cases with goals and to structure use-case models. se-case approaches are increasingly attracting attention in requirements engineering because the user-centered concept is valuable in eliciting, analyzing, and documenting requirements. 1-5 One of the main goals of the requirements engineering process is to get agreement on the views of the involved users, 6 and use cases are a good way to elicit requirements from a user's point of view. An important advantage of use-case-driven analysis is that it helps manage complexity, since it focuses on one specific usage aspect at a time. Use cases start from the very simple viewpoint that a system is built first and foremost for its users. The approach looks at the interactions of a single category of users at a time, considerably reducing the complexity of requirements determination. 7 However, current use-case approaches are somewhat limited in supporting use-case formalization, 4 and in structuring and managing large use-case models. 8

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In this study, we have attempted a survey of current approaches carried out in the confluence of the two technologies, fuzzy set theory and object-oriented technology, that could provide a powerful tool for enhancing database management systems, software Ž . modeling, and knowledge representation in artificial intelligence AI systems. Possible types of fuzziness are discussed and key features related to different kinds of fuzzy software systems are also pinpointed. In a nutshell, fuzzy theory, as a modeling mechanism, is especially useful in tackling real world applications whose complexity demands are growing intensively. ᮊ