引用本文:张晓珍,毛军军, 卢亚楠.基于Z-number的PROMETHEE多属性决策方法(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2020,37(5):30-36
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 799次   下载 851 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于Z-number的PROMETHEE多属性决策方法
张晓珍,毛军军, 卢亚楠1,2
1.安徽大学 数学科学学院,合肥 230601;2.安徽大学 计算机智能与信号处理教育部重点实验室,合肥 230039
摘要:
针对Z-number能够模拟带有不确定信息的自然语言,却没有有效的应用方法这一问题,提出了已知部分权重时以Z-number为信息环境的多属性决策方法。首先,在Z-number理论基础上利用模糊性限制和可靠性限制之间的关系,建立了两个非线性模型计算Z-number的潜在概率;其次,结合模糊数的交叉熵和 KL散度,构造了离散Z-number交叉熵公式,并且提出了基于Z-number的PROMETHEE多属性决策方法;该方法结合级别高于关系理论,建立了取值为0~1的优先函数,利用优先函数公式获得优先指数矩阵,进一步计算出净流,然后根据净流大小对各方案进行排序;最后,通过一个实例的应用与分析说明提出方法的有效性和可行性。
关键词:  Z-number  潜在概率  交叉熵  PROMETHEE方法  多属性决策
DOI:
分类号:
基金项目:
Approach to Multi-attribute Decision Making with PROMETHEE Based on Z-Numbers
ZHANG Xiao-zhen, MAO Jun-jun,LU Ya-nan1,2
1.School of Mathematical Sciences, Anhui University, Hefei 230601, China;2.2.Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, Anhui University, Hefei 230039, China
Abstract:
Aiming at the fact that Z-number can simulate natural language with uncertain information, but there is no effective application method, a multi attribute decision making method with Z-number as information environment with known partial weight is proposed. Firstly, based on Z-number theory, two nonlinear models are established to calculate the potential probability of Z-number by using the relationship between fuzzy restriction and reliability restriction. Secondly, combining the cross entropy and KL divergence of fuzzy numbers, the discrete Z-number cross entropy formula is constructed, and the PROMETHEE multi attribute decision approach based on Z-number is proposed. In this method, combining the theory of outranking relation, a priority function of taking a value from 0 to 1 is established, a priority index matrix is obtained by using a priority function formula, further, the net flow is calculated, and then the schemes are sorted according to the net flow. Finally, the effectiveness and feasibility of the proposed method are illustrated by the application and analysis of an example.
Key words:  Z-number  hidden probability  cross entropy  PROMETHEE method  multi attribute decision making
重庆工商大学学报(自然科学版) 版权所有
地址:中国 重庆市 南岸区学府大道19号 重庆工商大学学术期刊社 邮编:400067
电话:023-62769495 传真:
您是第4846799位访客
关注微信二维码