Aggregating Linguistic Information by Case Learning

摘要：

For linguistic information aggregation, both the inputs and outputs are expressed by linguistic variables. A linguistic term implies less information than a precise number does,but can tell more information than a nominal or ordinal number can. Using some aggregation operators, the mechanism aggregating linguistic information can be represented as a set of weights. Other than the methodologies of using weights given in advance, the approach proposed in this paper attempts to estimating the weights from a set of cases with known aggregation results.These weights are different from those in an artificial neural network. They have explainable meaning, and hence more like the explicit knowledge.

关键词： Knowledge Discovery Linguistic Information Weight Estimation Aggregation Decision Support System

作者: Mingrong Deng

作者单位: School of Management, Zhejiang University Hangzhou, Zhejiang, 310058, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 739-743

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）