Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62665
Title: STEM learning concept with fuzzy inference for organic rice farming knowledge acquisition
Authors: Jirawit Yanchinda
Thepparit Sinthamrongruk
Keshav Dahal
Keywords: Computer Science
Decision Sciences
Issue Date: 16-Feb-2018
Abstract: © 2017 IEEE. This study aims at providing a hybrid knowledge acquisition approach with fuzzy machine learning technique which assists to obtain knowledge when constructing expert systems. The study defines the knowledge acquisition framework that has been developed in order to make it easier and to provide appropriate interpretations for organic rice farmers and build inferential knowledge based on STEM learning concept in a fuzzy rule representation framework. The main concentration of this study is to demonstrate the knowledge acquisition technique as a method for extending, modernizing and improving a defective knowledge based-system in which fuzzy machine learning is beneficial.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054203588&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62665
ISSN: 25733214
2373082X
Appears in Collections:CMUL: Journal Articles

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