Multicriteria Ordered the Profile Clustering Algorithm Based on PROMETHEE and Fuzzy c-Means

The purpose of multicriteria clustering is to locate groups alternatives that have comparable qualities and been examined across multiple criteria. An ordered profile a well-known problem, the fuzzy c-means (FCM) technique one most broadly used in every field life. At present, FCM for partitioning information into numerous clusters which are still lacking priority relations. To address problem finding ranking based on environment, we propose algorithm partial net outranking flow preference organization enrichment evaluations method (PROMETHEE) c-means. Lastly, apply proposed solve real-world targeted regarding human development indexes. test efficacy algorithm, comparative analysis K-means (OKM) carried out with it.