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

Volume

3

fYear

2008

fDate

3-4 Aug. 2008

Firstpage

28

Lastpage

32

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3290-5

Type

conf

DOI

10.1109/CCCM.2008.353

Filename

4609790