STEM learning concept with fuzzy inference for organic rice farming knowledge acquisition

Autor:	Thepparit Sinthamrongruk, Keshav Dahal, Jirawit Yanchinda
Rok vydání:	2017
Předmět:	Fuzzy rule Knowledge representation and reasoning Computer science business.industry Ontology (information science) computer.software_genre Machine learning Fuzzy logic Knowledge acquisition Expert system Stem learning Artificial intelligence business Representation (mathematics) computer
Zdroj:	SKIMA
DOI:	10.1109/skima.2017.8294113
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4261899019762f89d512a218cec2dd8e https://doi.org/10.1109/skima.2017.8294113 Zobrazit plný text záznamu