犹豫模糊语言环境下的无线传感器选择方法

发布时间：2019-08-02 21:08

【摘要】：无线传感器系统的选择是无线传感器管理中的一个重要课题,其本质是一个多属性决策问题。针对犹豫模糊语言环境下无线传感器的选择问题,基于前景理论和证据理论的思想,提出一种新的犹豫模糊语言多属性决策方法。该决策方法首先利用证据理论确定各自然状态发生的概率,进而得到每种状态发生的决策权重函数;其次,运用正态分布概率密度函数构建犹豫模糊语言决策参考点,并基于属性值与决策参考点之间的距离计算价值函数矩阵,从而获得前景价值矩阵;进一步构建以综合前景价值最大化为目标函数的最优化模型求解属性权重,并依据各无线传感器系统的综合前景价值进行优劣排序。通过对无线传感器系统的选择实例验证提出的决策方法的可行性与有效性。
[Abstract]:The selection of wireless sensor system is an important topic in wireless sensor management, and its essence is a multi-attribute decision-making problem. In order to solve the problem of wireless sensor selection in hesitant fuzzy language environment, a new multi-attribute decision making method of hesitant fuzzy language is proposed based on the idea of prospect theory and evidence theory. In this decision method, the probability of each natural state is determined by evidence theory, and then the decision weight function of each state is obtained. secondly, the hesitant fuzzy language decision reference point is constructed by using the normal distribution probability density function, and the value function matrix is calculated based on the distance between the attribute value and the decision reference point, so as to obtain the prospect value matrix. Furthermore, an optimization model with the objective function of maximizing the comprehensive prospect value is constructed to solve the attribute weight, and the advantages and disadvantages of each wireless sensor system are sorted according to the comprehensive prospect value. The feasibility and effectiveness of the proposed decision method are verified by an example of wireless sensor system.
【作者单位】：常州大学怀德学院;
【基金】：江苏省高校自然科学基金面上项目(No.16KJB520001) 泰州市科技支撑计划(社会发展)指导性项目常州大学怀德学院2016产学研重大项目(No.CDHK060003)
【分类号】：TP212

【相似文献】