摘要
在利用经典相容关系研究人际关系的基础上,引入了人际关系中的模糊属性。利用截集的概念,研究了满足模糊相容关系即相似关系下的人际关系中社会交际圈的划分、成员活跃度和成员完成各项任务的代价等,并给出了相关算法和讨论。计算结果表明,该模型能够有效描述满足相似关系的社会关系网络。
On the basis of the study of social relations by using classical similarity relation, we began to consider the fuzziness in the social relations. By using the concept of cut set, we studied many properties of social relations satisfying similarity relation （i. e. , fuzzy tolerance relation）, such as the segmentation of social relation circles, the activity degree of individuals in the social relations and the cost when an individual accomplishes various tasks. The corresponding algo- rithms were also presented. Simulations show the proposed model can describe the social relation network satisfying similarity relation effectively.
出处
《计算机科学》
CSCD
北大核心
2013年第5期54-57,共4页
Computer Science
基金
国家自然科学基金(61203341)
山东省高等学校科技计划(J12LN19)
济南大学科技发展计划(XKY1035)资助
关键词
社会集合论
相似关系
社会交际圈
活跃度
代价
Social set theory
Similarity relation
Social relation circle
Activity degree
Cost
作者简介
李金屏（1968-），男，博士，教授，硕士生导师，主要研究方向为图像处理、机器视觉、人工智能、模式识别等，E-mail：ise_lijp@ujn．edu．cn.
