Title :
Dietary Menu Planning and Management System - An Automated Case-Based Approach
Author :
Noah, Shahrul Azman ; Khairudin, Nurkhairizan ; Shahar, Suzana ; Norulhuda, Siti ; Abdullah, Sheikh ; Hamid, Hanizah Ab
Author_Institution :
National Univ. of Malaysia, Bangi
Abstract :
Dietary menu planning is a complicated process that researchers have tried to computerize since the early 1960s. The application of artificial intelligence (AI) techniques to such a process has also been put forward recently. However, the amount of common-sense knowledge involved and the complexity nature of the menu planning activities have yet produced encouraging results. This paper presents our effort in applying the case-based reasoning (CBR) technique to this so-called complex and complicated process. In this way, solution to a new case is based upon past cases stored in the system. Two similarity measures that is use are the k-nearest neighbour and the symbolic indexing
Keywords :
case-based reasoning; common-sense reasoning; medical computing; artificial intelligence; case-based reasoning; common-sense knowledge; dietary management system; dietary menu planning; k-nearest neighbour; symbolic indexing; Application software; Artificial intelligence; Indexing; Information technology; Internet; Medical services; Process planning; Search engines; Strategic planning; Testing;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1685001