Abstract Data clustering is an important method used to discover naturally occurring structures in datasets. One of the most popular approaches grid-based concept algorithms. This kind characterized by a fast processing time and it can also clusters arbitrary shapes These properties allow these methods be many different applications. Researchers have created versions using approach. However, ke...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...