Title :
Study on the Knowledge Base Repository Construction of Dietary Decision-Making Input Mode
Author :
Li, Cong ; Wang, Gaoping
Author_Institution :
Henan Univ. of Technol., Zhengzhou, China
Abstract :
By combining practice of Matching Optimization of intelligent nutrition expert system based on integrating the object-oriented knowledge representation with rule knowledge representation, the Knowledge base Repository Construction of Dietary Decision-Making Input Model by object-oriented method according to the process of matching optimization of nutrient input model is proposed, with Microsoft Access database and Visual Basic as development tools. The representation, the storage form of knowledge, the structure of knowledge, and the practicability of knowledge -base system are discussed in particular.
Keywords :
catering industry; decision making; knowledge based systems; object-oriented programming; optimisation; Microsoft access database; Visual Basic; dietary decision-making input mode; intelligent nutrition expert system; knowledge base repository construction; matching optimization; object oriented knowledge representation; object-oriented method; Decision making; Deductive databases; Expert systems; Intelligent systems; Knowledge representation; Object oriented databases; Object oriented modeling; Optimization methods; Visual BASIC; Visual databases; expert systemic knowledge; input model; knowledge base; nutritious meals;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.557
