Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type

Authors

  • R. Umar Department of Informatics Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
  • . Sunardi Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
  • Y. B. Fitriana Department of Informatics Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Volume: 8 | Issue: 1 | Pages: 2568-2571 | February 2018 | https://doi.org/10.48084/etasr.1747

Abstract

Decision support systems are one of the choices decision-makers make in an attempt to cope with the problems related to the time length required in decision-making process. Such systems are known to improve the efficiency and accuracy in the decision-making processes. In developing a decision support system, a certain calculation method is required as part of its processing. One of the most commonly used methods is FMADM. This research discusses the clustering of decision support system using FMADM in an attempt to provide a taxonomy of decision support system based on FMADM.

Keywords:

artificial intelligence, decision support system, fuzzy, taxonomy

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How to Cite

[1]
R. Umar, . Sunardi, and Y. B. Fitriana, “Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 1, pp. 2568–2571, Feb. 2018.

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