摘要
考虑到毕达哥拉斯模糊信息能够有效表达决策专家的模糊不确定性特征,并且专家之间的共识程度通常会影响最终决策结果的满意度,因此,首先引入了衡量专家之间共识程度的指标,包括个体共识度和群体共识度;其次,将毕达哥拉斯模糊偏好关系(PFPR)序列融合成为一个综合PFPR,并基于最优化模型探究综合PFPR积性一致性满足的优良性质;最后,设计一种共识决策模型,并通过计算机网络评价实例进行分析。
Considering Pythagorean fuzzy information can effectively express the fuzzy uncertainty characteristics of decision experts, and the degree of consensus among experts usually affects the satisfaction of the final decision-making result. Therefore,first introduces two indicators to measure the degree of consensus among experts, including individual consensus and group consensus. Secondly, the PFPR sequence is fused into a comprehensive PFPR, and the excellent properties of the multiplicative consistency of the comprehensive PFPR are explored based on the optimization model. Finally, a decision-making model is designed, and the effectiveness is analyzed through an example of computer network evaluation.
作者
吴桂明
Wu Guiming(School of Information Technology,Guangdong Technology College,Zhaoqing 526100,China)
出处
《科学技术创新》
2022年第30期57-60,共4页
Scientific and Technological Innovation
关键词
毕达哥拉斯模糊偏好关系
共识度
决策模型
pythagorean fuzzy preference relation
degree of consensus
decision-making model
