Dealing with Fuzzy Information in Software Design Methods

Software design methods incorporate a large set of heuristic rules that should result in stable software architecture of high quality. In general, clearly defined inputs are required to deliver the desired results. Unfortunately, especially in the early phases of software development, it is very difficult or even impossible to provide precisely defined information. Since methods cannot deal with imprecision, the designers need to make approximations which are generally not justifiable. In this paper, we will advocate an approach where the inputs for software design methods are modeled by using fuzzy sets. This approach renders the need for introduction of extra information for removal of inexactness obsolete

The Ribbon of Love: Fuzzy-Ruled Agents in Artificial Societies

The paper brings two motivations to the theoretical explorations of social analysis. The first is to enrich the agent based computational sociology by incorporating the fuzzy set theory in to the computational modeling. This is conducted by showing the importance to include the fuzziness into artificial agent’s considerations and her way acquiring and articulate information. This is continued with the second motives to bring the Darwinian sexual selection theory – as it has been developed broadly in evolutionary psychology – into the analysis of social system including cultural analysis and other broad aspects of sociological fields. The two was combined in one computational model construction showing the fuzziness of mating choice, and how to have computational tools to explain broad fields of social realms. The paper ends with some opened further computer program development