@inproceedings{d8be4978002c4e8b84484aeb5a9358e5,
title = "Integration of Fuzzy C-Means Clustering and TOPSIS (FCM-TOPSIS) with Silhouette Analysis for Multi Criteria Parameter Data",
abstract = "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.",
keywords = "FCM, TOPSIS, clustering, evaluation, fuzzy, multicriteria, silhouette",
author = "Swindiarto, {Victory Tyas P.} and Riyanarto Sarno and Novitasari, {Dian C.R.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 ; Conference date: 21-09-2018 Through 22-09-2018",
year = "2018",
month = nov,
day = "27",
doi = "10.1109/ISEMANTIC.2018.8549844",
language = "English",
series = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "463--468",
booktitle = "Proceedings - 2018 International Seminar on Application for Technology of Information and Communication",
address = "United States",
}