In essence, data mining consists of extracting knowledge from data. This paper proposes a co-evolutionary system for discovering fuzzy classification rules. The system uses two evolutionary algorithms: a genetic programming (GP) algorithm evolving a population of fuzzy rule sets and a simple evolutionary algorithm evolving a population of membership function definitions. The two populations co-...

background: hyperlipidemia and overweight are more common problems in schizophrenic patients. in several studies showed the mortality in schizophrenic patients more than the general population. one of the most common problems is overweight. body mass index (bmi) more than 30 is also associated with the use of antipsychotic drugs in patients. this study was assessed to understand the association...

in this paper a first step in classifying the fuzzy normalsubgroups of a finite group is made. explicit formulas for thenumber of distinct fuzzy normal subgroups are obtained in theparticular cases of symmetric groups and dihedral groups.

to evaluate the efficacy of vineland adaptive behavior scales in iranian population, this scale was applied to 360 normal subjects in 15 age groups from birth to 18 years and 11 months. in urban and rural areas of kerman. it was also filled for 40 mentally retarded individuals from variuos age groups. findings show that all domains of this scale have significant reliability for iranian populati...