Linear fuzzy space with applications

This paper presents theoretical foundations of the linear fuzzy space, which allows for a simple but yet efficient modelling and representation of imprecise data. We also present applications of this theory to diversiform problems that call for imprecise data manipulation. The presented applications pertain to geo-spatial problems, medical imaging/diagnostics, and social networks analysis.