统计与决策2019，Vol.35Issue(8)：68-72,5.DOI:10.13546/j.cnki.tjyjc.2019.08.016
一维混合模糊软集及其决策应用
One-Dimension Hybrid Fuzzy Soft Set and Its Application in Decision Making
摘要
Abstract
In the era of big data, the information form faced by realistic decision-making is very complex, with multiple data acquisition channels and diverse ways of expression. Aiming at the soft-set decision making based on fuzzy information representation in mixed state, this paper firstly blends fuzzy information into a unified decision framework by defining a one-dimension hybrid fuzzy soft set, and proposes the normalization strategy based on distance location to realize the relative fusion of polymorphic mixed fuzzy numbers. Then the paper uses the similarity measurement strategy to strengthen the level soft set decision making method, which not only ensures the balance and flexibility of the decision making process, but also improves the resolution ability of the decision making scheme. Finally, the model and decision method are verified by corresponding examples.关键词
模糊软集/一维混合模糊软集/水平软集/相似度量/决策Key words
fuzzy soft set/one-dimension hybrid fuzzy soft set/level soft set/similarity measure/decision making分类
数理科学引用本文复制引用
李长仪,管建和,刘婷婷,马宁..一维混合模糊软集及其决策应用[J].统计与决策,2019,35(8):68-72,5.基金项目
山东省社会科学规划基金项目(15CGLJ25) （15CGLJ25）
山东省高校人文社科计划项目(J18RB067) （J18RB067）
