Title :
A Multi-granularity & Fuzzy CBR Based Method for Price Forecast
Author :
Yuan, Hongchun ; Ju, Jinling ; Chen, Ying ; Chen, Ming
Author_Institution :
Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai
Abstract :
The ability to scientifically and accurately forecast product price fluctuations plays a crucial role in the development of the contemporary market economy and consequently results in vigorous research in the area. This paper presents a new forecast method using multi-granularity of time and case-based reasoning (CBR) with fuzzy matching of cases featuring certain fluctuations. The method has been applied in aquaculture with aquatic product prices as test data. Results of experiments have proved the method highly feasible and accurate in aquatic product price forecasts.
Keywords :
case-based reasoning; forecasting theory; fuzzy set theory; pattern matching; pricing; aquaculture; aquatic product prices; fuzzy CBR; fuzzy matching; market economy; multigranularity; price fluctuation forecasting; Communication system control; Control systems; Demand forecasting; Economic forecasting; Fluctuations; Fuzzy reasoning; Information retrieval; Technology forecasting; Testing; Underwater communication; Attribute-oriented induction; Case-based reasoning; Forecasting; Fuzzy matching; Product prices;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.353
