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Appl. Sci. 2015, 5(4), 825-839; doi:10.3390/app5040825

Case-Based FCTF Reasoning System

1,2
,
3,4,* , 2
and
2
1
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
2
Shanxi Meteorological Administration, Taiyuan 030006, Shanxi, China
3
National Meteorological Center of China Meteorological Administration, Beijing 100081, China
4
Environmental Modeling Center, NOAA/NWS/National Centers for Environmental Prediction, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Chien-Hung Liu
Received: 27 July 2015 / Accepted: 29 September 2015 / Published: 16 October 2015
View Full-Text   |   Download PDF [827 KB, uploaded 16 October 2015]   |  

Abstract

Case-based reasoning uses old information to infer the answer of new problems. In case-based reasoning, a reasoner firstly records the previous cases, then searches the previous case list that is similar to the current one and uses that to solve the new case. Case-based reasoning means adapting old solving solutions to new situations. This paper proposes a reasoning system based on the case-based reasoning method. To begin, we show the theoretical structure and algorithm of from coarse to fine (FCTF) reasoning system, and then demonstrate that it is possible to successfully learn and reason new information. Finally, we use our system to predict practical weather conditions based on previous ones and experiments show that the prediction accuracy increases with further learning of the FCTF reasoning system. View Full-Text
Keywords: case-based reasoning; from coarse to fine; reasoning system case-based reasoning; from coarse to fine; reasoning system
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lu, J.; Zhang, X.; Li, P.; Zhu, Y. Case-Based FCTF Reasoning System. Appl. Sci. 2015, 5, 825-839.

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