Implementation of Fuzzy Logic in Determining the Value of Uncertainty Factors on Expert System

DOI

10.2991/aisr.k.200424.069How to use a DOI?

Keywords

expert system, fuzzy method, certainty factor method

Abstract

An intelligent system is a system that was built by imitating the ability of an expert in solving problems encountered. To adopt the ability of an expert in the system set forth in the form of rules that are usually in the form of IF.. Then rules. Each rule usually has a uncertainty value to declare the end result. This value is obtained from experts who are a combination of many rules that exist in knowledge-based systems but sometimes to get the uncertainty value is very difficult because the understanding is not the same between experts and system developers and the measurement of the uncertainty value itself is not easy, so to overcome the problem The researcher tried to combine the use of the fuzzy method in the expert system. Where the input from the uncertainty value of this system is fuzzy linguistic such as: rarely, sometimes, often etc., then the calculation process uses the certainty factor (CF) method. The final results of this study are expected to provide convenience in measuring the uncertainty value in the expert system so that it is easier to do the analysis.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rusdi EFENDI
AU  - YUNITA
AU  - M. Ihsan JAMBAK
AU  - Leny MARLINA
PY  - 2020
DA  - 2020/05/06
TI  - Implementation of Fuzzy Logic in Determining the Value of Uncertainty Factors on Expert System
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 448
EP  - 453
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.069
DO  - 10.2991/aisr.k.200424.069
ID  - EFENDI2020
ER  -