基于联系数的对方案有偏好的模糊多属性决策

Fuzzy Multiple Attributes Decision-making for the Program Preference Based on the Connection Number

为了对方案有偏好的模糊多属性决策中的不确定性展开分析,先把决策中的属性值三角模糊数、属性权重模糊数、决策者对方案偏好的三角模糊数分别转换成集对分析中的"均值—偏差"联系数,在此基础上,建立决策模型。决策时,先按模型中的综合均值(主值)作出初决策,再计算偏差的不确定性波动对初决策排序的扰动。结果表明,属性值为三角模糊数,属性权重为模糊数,方案偏好为三角模糊数的这一类模糊多属性决策是三次不确定型决策(决策联系数中含i的3次幂),其不确定性扰动对于方案排序有较大影响。

To analyze the uncertainty of the fuzzy multiple attribute decision-making problem, in which the weight information is the fuzzy numbers, and the attribute values and the preference values are triangular fuzzy numbers, we convert the triangular fuzzy numbers of the attriple values and the preference values, and the attribute weight fuzzy numbers separately into contact number ＂mean-eviation＂. On this basis, the decision-making model is established. We make decisions, decide firstly according to the model in the first early comprehensive mean （main） values and then calculate the deviation of uncertainty wave disturbance to sort the earlier decision. Results show this problem is three times of multi-parametric （decision contact number contains three times the power）, which has a great influence on its uncertainty disturbance for ranking.