id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qcxfniobyne2bjkncjf3tadu7m	Tod A. Sedbrook	A collaborative fuzzy expert system for the Web	1998	12	.pdf	application/pdf	6320	735	65	users to collaborate in developing, refining, and testing knowledge-based systems. Fuzzy rules resulted in semantically richer knowledge bases that flexibly handled ence engine supported hedges and partial matching to assist users in applying knowledge and exploring Web-based data. to the computer...users call on the computer for speiii cific advice as needed." The expert's role is to assist knowledge engineers in developing, refining, and knowledge-based expert systems with Internet technology and fuzzy models. Maintaining and enhancing Web-based expert systems require a method to help users and designers allows experts and end users to collaborate in managing and accessing knowledge and data resources. and delivery environment to investigate collaborative fuzzy expert systems delivered on the Web. integrated development environment (IDE) application and Java delivery applet for producing, delivering, and collaborating to maintain fuzzy knowledge Based on the user's responses and fuzzy logical inferences, the system retrieves data, derives problem solutions, and presents recommendations.	./cache/work_qcxfniobyne2bjkncjf3tadu7m.pdf	./txt/work_qcxfniobyne2bjkncjf3tadu7m.txt