Attribute Dependency Processing Based on Hesitant Fuzzy Linguistic Term Sets with Granularity Levels

In this chapter, we mainly introduce a method to deal with attribute dependency based on the G-HFLTS. Firstly, based on the algorithms calculating threshold values of consistency index in Chapter 2, the multiplicative consistency index and threshold values are discussed for three-dimensional preference relations. Then, the granularity levels of the three-dimensional G-HFLPRs are calculated, and the weight index is designed for each G-HFLPR. Then, an analytic network process based on the subjective and objective information of the G-HFLPRs is introduced to deal with the attribute dependence problem. Finally, the effectiveness and advantages of the analytic network process are demonstrated through the evaluation and comparative analysis of the hierarchical diagnosis and treatment scheme.