Using fuzzy data mining to evaluate survey data from olive grove cultivation

摘要: User knowledge about cultivation and soils is relevant in developing countries, given the lack of any other kind information, developed countries where it may contribute to sustainable operational planning for farm production systems. But user data show a high degree inaccuracy uncertainty; hence appropriate treatment this order obtain potentially useful information requires suitable storage processing techniques, such as fuzzy relational database mining techniques. The were obtained from survey with 126 variables carried out on 210 olive grove farms Province Granada (southern Spain). A set 34 selected following cleaning process, 1420 association rules relating handling, soil, or environment fruit (kgha^-^1), % oil acidity tree (olive quality), obtained. Several these can be considered evaluation (UER) because they clear between corresponding variables. It demonstrated that greatest influence soil quality oil, arises when those limit reduce quality. Some UER are corroborated regarding found bibliography. others contradict reveal relationships not described previously. Because this, proposed working method mostly exploratory. final objective work help decision-making field Andalusia. However, paper applicable geographical areas kinds crops.