DECISION SUPPORT SYSTEM BASED ON FUZZY KNOWLEDGE APPLIED TO A SOFTWARE FACTORY

Development environments to DSS are evolving to open and distribute architectures. The main features of these new architectures are: Data Base Query Tools in clients, fast developments and better graphics interfaces. DSS developers need a set of functionalities as multidimensional data view, variable capacity DW, set of complex criteria in order to filter the required information access, quick queries, minimum reorganisation when the data model is modified, etc. In this work a fuzzy knowledge based system to make decisions inside a DSS system that supports the planning and production control in a software factory. The fuzzy system is developed to evaluate the appropriateness of different platforms to construct a software product. From the platform specifications given in the product definition, the fuzzy system calculates the appropriateness of each existing platform to develop the product