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

Victory Tyas P. Swindiarto, Riyanarto Sarno, Dian C.R. Novitasari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2018 International Seminar on Application for Technology of Information and Communication
Subtitle of host publicationCreative Technology for Human Life, iSemantic 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages463-468
Number of pages6
ISBN (Electronic)9781538674864
DOIs
Publication statusPublished - 27 Nov 2018
Event3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 - Semarang, Indonesia
Duration: 21 Sept 201822 Sept 2018

Publication series

NameProceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018

Conference

Conference3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018
Country/TerritoryIndonesia
CitySemarang
Period21/09/1822/09/18

Keywords

  • FCM
  • TOPSIS
  • clustering
  • evaluation
  • fuzzy
  • multicriteria
  • silhouette

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