对方案有偏好的区间直觉模糊多属性决策方法

发布时间：2018-05-27 22:03

本文选题：区间直觉模糊数 + 运算法则　；参考：《系统工程与电子技术》2009年01期

【摘要】：针对属性权重信息未知或属性权重信息不完全且属性值和对方案的偏好值均为区间直觉模糊数多属性决策问题,基于偏差极小化的思想,给出了相应的决策分析方法。首先引入了区间直觉模糊数的一些运算法则、区间直觉模糊数的得分函数和精确函数。然后分别对权重信息未知或权重信息不完全且属性值和对方案的偏好值均为区间直觉模糊数多属性决策方法进行了研究,给出了基于最小偏差的目标规划模型,从而获得相应的属性权重,基于区间直觉模糊数加权平均(IIFWA)算子对区间直觉模糊信息进行集结,进而根据得分函数和精确函数对方案进行排序。最后,进行了实例分析,说明了该方法的实用性和有效性。
[Abstract]:Aiming at the problem that the attribute weight information is unknown or the attribute weight information is incomplete and the attribute value and the preference value to the scheme are interval intuitionistic fuzzy number multiple attribute decision making problem, based on the idea of minimization of deviation, the corresponding decision analysis method is given. In this paper, we first introduce some algorithms of interval intuitionistic fuzzy numbers, the score function and exact function of interval intuitionistic fuzzy numbers. Then, the method of multi-attribute decision making with unknown weight information or incomplete weight information, whose attribute value and preference value are interval intuitionistic fuzzy number, is studied, and the objective programming model based on minimum deviation is given. The corresponding attribute weights are obtained, and the interval intuitionistic fuzzy information is aggregated based on the interval intuitionistic fuzzy number weighted average IIFWAA operator, and then the scheme is sorted according to the score function and the exact function. Finally, an example is given to illustrate the practicability and effectiveness of the method.
【作者单位】：重庆文理学院经济与管理系;
【基金】：重庆文理学院重点基金资助项目(Z2008JG05)
【分类号】：C934

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