Simplified probabilistic linguistic preference relation in decision making

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE(2023)

引用 0|浏览8
暂无评分
摘要
Probabilistic linguistic preference relation (PLPR), whose elements are denoted in probabilistic linguistic term sets, provides a flexible tool for experts to express linguistic preferences in pairwise comparisons of objects. However, missing elements in PLPRs often occur owing to the difficulty of providing pairwise comparison values, especially when the number of objects is large. This study introduces a simplified PLPR based on reference objects, which allows for the incompleteness of probabilistic linguistic term sets when deriving the priorities of objects. We also introduce a consistency measure to check the reliability of a simplified PLPR. An illustrative example is provided to demonstrate the efficiency and validity of the simplified PLPR in decision making.
更多
查看译文
关键词
Probabilistic linguistic preference relation,Simplified probabilistic linguistic preference relation,Reference object,Decision making,Consistency threshold
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要