CLUS-MCDA: A novel framework based on cluster analysis and multiple criteria decision theory in a supplier selection problem

摘要: Abstract In past recent years, by increasing in the considerations on significance of data science many studies have been developed concerning big structured problems. Along with information science, field decision multi-attribute decision-making (MADM) approaches considerably applied research studies. One most important procedures supply chain management is selecting optimal supplier to maintain long-term productivity chain. There has a vast amount which utilized MADM tackle selection problems, but only few these considered The current study presents comprehensive novel approach for improving Multiple Criteria Decision Analysis (MCDA) based cluster analysis considering crisp structure input called CLUS-MCDA (Cluster Analysis) algorithm. proposed method consolidating mining technique i.e. k -means clustering and MULTIMOORA method. fast practical this implied problem input. A real-world case MAMUT multi-national corporation presented show validity practicality calculated business areas criteria expert comments mentioned organizations previous literature problem.