QUALITATIVE REASONING BY COMPUTING WITH WORDS IN HERRERA-MARTíNEZ’S LINGUISTIC MODEL

Most of modern systems for information retrieval, fusion and management have to deal with more and more qualitative information （by linguistic labels） besides information expressed quantitatively （by numbers）, since human reports are better and easier expressed in natural language than with numbers. In this paper, Herrera-Martfnez＇s 2-Tuple linguistic representation model is extended for reasoning with uncertain and qualitative information in Dezert-Smarandache Theory （DSmT） framework, in order to overcome the limitations of current approaches, i.e., the lack of precision in the final results of linguistic information fusion according to 1-Tuple representation （ q1 ）- The linguistic information which expresses the expert＇s qualitative beliefs is expressed by means of mixed 2 Tuples （equidistant linguistic labels with a numeric biased value）. Together with the 2-Tuple representation model, some basic operators are presented to carry out the fusion operation among qualitative information sources. At last, through simple example how 2-Tuple qualitative DSmT-based （q2 DSmT） fusion rules can be used for qualitative reasoning and fusion under uncertainty, which advantage is also showed by comparing with other methods.

基于二元语义评价信息的个体优势特征识别方法

本文依据群体语言评价信息特点,基于二元语义信息处理、理想点评价模型及聚类分析等方法,给出了基于二元语义评价信息并适用于层次结构的个体优势特征识别方法;对某企业的文化优势特征进行识别,演示了方法的使用过程,并说明了所提方法的可行性和有效性。从二元语义的评价信息中,本方法能够比较充分地挖掘和体现被测行为主体的个体优势特征,能够为决策者提供多种维度的决策信息。

基于柯氏模型和二元语义的应急预案培训效果评估

为检验应急预案培训效果,建立一种基于柯氏模型和二元语义的应急预案培训效果综合评估方法。首先,根据柯氏模型,从反应层、学习层、行为层、结果层4个评估层建立由4个一级指标和17个二级指标构成的应急预案培训效果评估指标体系。其次,结合二元语义有序加权平均算子理论(T-OWA),确定二元语义模糊层次分析法(FAHP)构建路径。最后,采用该方法对某企业应急预案培训效果进行实例评估。结果表明,该企业的应急预案培训效果总体很好。基于柯氏模型和二元语义的应急预案培训效果评估方法不仅可以计算出应急培训效果等级,而且还可以找出影响应急预案培训效果的具体因素,从而弥补以往评估方法的不足,实现了对应急预案培训效果的全面评估与语言评价信息的定量化分析,保证了语言评价信息的真实性。