Effect of Fuzzy Criteria on the Performance of Decision Tree Models for Heart Disease Classification

Kresnawati, Endang and Zayanti, Des and Amran, Ali and Resti, Yulia and Aisyah, Nada and Salsabila, Anggraini (2024) Effect of Fuzzy Criteria on the Performance of Decision Tree Models for Heart Disease Classification. In: Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia.

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Abstract

Fuzzy is a special algorithm used in developing Decision Tree Models. The decision rules obtained not only depend on the tree structure formed, but also on the determina-tion of numerical criteria and fuzzy linguistic criteria. This study aims to measure the performance of decision tree models in di

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:56
Last Modified: 16 Apr 2026 23:02
URI: http://eprints.eai.eu/id/eprint/50485

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