Application of Fuzzy Metrics in Clustering Problems of Agricultural Crop Varieties
Andrijana Stamenković,
Nataša Milosavljević,
Nebojša Ralević
Abstract:The problem of image-based detection of the variety of beans, using artificial intelligence, is currently dealt with by scientists of various profiles. The idea of this paper is to show the possibility of applying different types of distances, primarily those that are fuzzy metrics, in clustering models in order to improve existing models and obtain more accurate results. The paper presents the method of variable neighborhood search, which uses both standard and fuzzy t-metrics and dual fuzzy s-metrics charact… Show more
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