A Fuzzy Case-based Reasoning Method for Conflict Resolution Based on Collaborative Design
Collaborative design, a new style for modern mechanical design is to meet the requirement of increasing competition. Designers of different places complete the same work, but the conflict appears in the process of design which may interface the design. Case-based reasoning (CBR) is applied to the problem of conflict resolution, which is in the artificial intelligence field. However, due to the uncertainties in knowledge representation, attribute description, and similarity measures of CBR, it is very difficult to find the similar cases from case database. To solve the problem of conflict resolution in collaborative design, a fuzzy CBR method is proposed. The process of fuzzy CBR is introduced. Based on the feature attributes and their relative weights determined by a fuzzy technique, a fuzzy CBR retrieving mechanism is developed to retrieve conflict resolution cases that tend to enhance the functions of the database. By indexing, calculating the weight and defuzzication of the cases, the case similarity can be obtained. Knowledge can be reuse and shared with the framework. Then the case consistency is measured to keep the right result. Finally, the fuzzy CBR method for conflict resolution is demonstrated by means of a case study. The prototype system based on web is developed to illustrate the methodology.
collaborative design conflict resolution CBR fuzzy retrieve
Junming Hou Chong Su Shuang Liang Wanshan Wang
School of Mechanical Engineering & Automation Northeastern University Shenyang,LiaoNing Province,China
国际会议
2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)
重庆
英文
1-7
2008-12-11（万方平台首次上网日期，不代表论文的发表时间）