Distribution-Based Decision-Making Method for Dual Hesitant Fuzzy Information
摘要
In this chapter, we present several distribution-based weighting methods for hesitant fuzzy information and dual hesitant fuzzy information. The prominent characteristic of these methods is that they can reduce the influence of biased data, which obeys the majority rule. Finally, an example of a recruitment interview for a product manager has demonstrated the practicability and validity of these methods.