Next Article in Journal
Chemical Modification of Poly(Vinyl Alcohol) in Water
Previous Article in Journal
Kerr-Lens Mode-Locked Femtosecond Yb:GdYSiO5 Laser Directly Pumped by a Laser Diode
Article Menu

Export Article

Open AccessArticle
Appl. Sci. 2015, 5(4), 825-839;

Case-Based FCTF Reasoning System

3,4,* , 2
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
Shanxi Meteorological Administration, Taiyuan 030006, Shanxi, China
National Meteorological Center of China Meteorological Administration, Beijing 100081, China
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
Full-Text   |   PDF [827 KB, uploaded 16 October 2015]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top