On a Rough Set with Fuzzy Weights in Well-Balanced Menu Planning System

We have developed a well-balanced menu planning system to supply dishes to someone´s taste. The system implements fuzzy mathematical programming logic and rough set theory. The fuzzy mathematical programming is mainly used to select menu among database, and the rough set theory provides user´s selection rule for menu. This paper particularly focuses the method of rough set theory with fuzzy weight. So far we have used an information system with fuzzy weights adopted to only each tuple data. This paper discusses the method that is evaluated each attribute including both of condition and decision using a fuzzy number, in order to cover all uncertainties and noises in a menu database. On rough set procedure, some invisible elements are visualized i.e., it takes notice of the visualization of nutritional information which hid behind a user´s favorite. Each user´s characteristic is grasped and well-balanced menus are presented for each user after filling constraints such as the affinity of cooking.