论文部分内容阅读
为允许在语言多属性决策环境中使用“差不多”和“有点”等表示程度弱化的语言修饰词,提出了一种基于语义的表示模型.首先,基于论域上语言标度的语义定义相似关系,并通过计算语言标度的上近似和松上近似得到语言修饰词的表示方法,进而推导出语言表达式的语义公式,其中参数由语言标度的语义客观确定.该模型具有清晰的语义,且允许专家以更自然的方式表达不确定的决策信息.将模型应用于可持续创新能源技术的评估和选择,计算结果表明,所提出的模型可以处理评估过程中存在的多种不确定性.最后,讨论了该模型与现有技术的区别,并给出了该模型在语义为梯形模糊数情形下的拓展.
A semantic-based representation model is proposed to allow linguistic modifiers such as “almost ” and “somewhat ” in language multi-attribute decision making environments to be weakened.Firstly, based on the linguistic scale And the similarities between semantic definition and linguistic modifier are obtained by calculating the approximate and loose approximations of linguistic scales, and then the semantic formulas of linguistic expressions are derived, in which the parameters are objectively determined by the semantics of linguistic scales.The model has Clear semantics and allows experts to express uncertain decision-making information in a more natural way.Applying the model to the assessment and selection of sustainable and innovative energy technologies shows that the proposed model can deal with the multiple Uncertainty.Finally, the difference between the model and the existing technology is discussed, and the extension of the model under the condition that the semantics are trapezoidal fuzzy numbers is given.