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针对传统二元语义方法能较好地处理关于决策对象的语言评价信息,但无法反映决策者自身对决策对象信息掌握程度的情况,结合灰色系统中灰度的思想,提出了语义灰度的概念和度量方法,设计了考虑语义灰度的二元语义算子,构建了考虑语义灰度的二元语义群决策模型并给出求解方法。该方法利用决策者给出的信息,通过计算语义灰度调整群决策中决策者的权重,并依据综合灰度计算评价结果的可信度,提出基于二次函数对决策对象进行排序的方法。最后通过实例验证了该方法的实用性、合理性和有效性。
In view of the traditional binary semantic method can better deal with the linguistic evaluation information about the decision object, but can not reflect the decision maker’s own grasp of the decision-making object information level, combined with the gray system of gray thought, the concept of semantic grayscale And measure method, a binary semantic operator considering semantic gray is designed and a binary semantic group decision model considering semantic gray is constructed and a solution method is given. This method uses the information given by decision makers to adjust the weights of decision-makers in the group decision-making by calculating the semantic grayscale, and proposes the method of ranking the decision objects based on the quadratic function according to the credibility of the evaluation results. Finally, an example is given to verify the practicability, rationality and effectiveness of this method.