A Fuzzy Case-Based Reasoning Model to Forecast Prices Of Aquatic Products

摘要：

　　Accurate prediction of aquatic product prices can improve the quality of business strategy of aquatic product market.Case-based reasoning (CBR) systems have long been intensively used in several areas of artificial intelligence.But it is difficult to cluster similar cases from case bases as there are uncertainties in knowledge representation, attribute description and similarity measures in CBR.To increase the efficiency and reliability of CBR, fuzzy theories have been combined with CBR.In this paper, fuzzy case-based reasoning (FCBR) has been developed to forecast the price of aquatic products.

关键词： Fuzzy CBR Case-based reasoning (CBR) Price forecasting Aquatic products

作者: Rabiya Maharjan Hongchun Yuan

作者单位: College of Information Technology,Shanghai Ocean University,Shanghai,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 3-6

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）