摘要
模糊环境下,基于非线性效用函数和级别优于关系的分类算法提供一个好的分类决策方法.此方法利用模糊理论及模糊数排序准则将含有三角模糊数的决策模型转换成普通决策模型,再采用加权求解的方法将多目标规划转换成单一目标规划.通过数值实例验证算法的有效性.
A classification algorithm is presented based on nonlinear utility function and outranking relation which provides a decision making under fuzzy environment.This method use fuzzy theory which can transform the decision programmingwith triangular fuzzy number into common decision programming, andoperates with the weighted method which change multiple objective programming into single objective programming.Finally, an illustrative numerical example is provided to demonstrate the efficiency of the proposed method.
出处
《淮北师范大学学报（自然科学版）》
CAS
2017年第2期28-35,共8页
Journal of Huaibei Normal University：Natural Sciences
基金
云南省自然科学基金项目(2013FB034)
关键词
非线性效用函数
模糊理论
三角模糊数
加权
nonlinear utility function
fuzzy theory
triangular fuzzy number
weighted method
