Capability Model for Case-Based Reasoning in Collaborative Commerce Environment  

作　　者：ZHANG Chenghong CHEN Langtao ZHANG Cheng HUANG Lihua 

机构地区：[1]School of Management, Fudan University, Shanghai 200433, China School of Management, Fudan University, Shanghai 200433, China School of Management, Fudan University, Shanghai 200433, China School of Management, Fudan University, Shanghai 200433, China

出　　处：《Tsinghua Science and Technology》2005年第z1期790-796,共7页清华大学学报（自然科学版（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 70471011 ) and the Young Scholar Research Fund of School of Management, Fudan University

摘　　要：Collaborative commerce (c-commerce) has become an innovative business paradigm that helps companies achieve high operational performance through inter-organizational collaboration. This paper presents an effective case-based reasoning (CBR) capability model for solution selection in c-commerce applications, as CBR is widely used in knowledge management and electronic commerce.Based on the case-based competence model suggested by Smyth and McKenna, a directed graph was used to represent the collaborative reasoning history of CBR systems, where information of reasoning process ability was extracted. Experiment was carried out on a travel dataset. By integrating case-based competence and reasoning process ability, the capability is more suitable to reflect the real ability of CBR systems. The result shows that the proposed method can effectively evaluate the capability of CBR systems and enhance the performance of collaborative case-based reasoning in c-commerce environment.

关 键 词：case-based REASONING COLLABORATIVE COMMERCE CAPABILITY 

分 类 号：N[自然科学总论]