Integration of Fuzzy C-Means Clustering and TOPSIS (FCM-TOPSIS) with Silhouette Analysis for Multi Criteria Parameter Data

摘要

Rank theory is one effective method used as an evaluation, cause in the presence of these rankings there will be competition from all aspects factor parameters. TOPSIS is excellent method in ranking. It just takes a weight and make the decision matrix. Integration required by using the best membership value in a data cluster for weighting on TOPSIS. Because the process is used for multi-criteria data, the best membership value based on the results of cluster sub-criteria to get the weight of TOPSIS. A good weight based on a valid FCM structure, silhouette coefficient needed to analyze possible displacements to other clusters. This research conducted for company performance evaluation of PT XYZ based on all branch of company.