计算机工程与应用2019，Vol.55Issue(7)：53-57,213,6.DOI:10.3778/j.issn.1002-8331.1805-0218
基于GBM算子扩展的时序广义模糊软集决策模型
Decision-Making Model of Time Series Generalized Fuzzy Soft Sets Based on Extended GBM Operator
摘要
Abstract
Under uncertain conditions, information for decision-making may be inexact and constantly changes with times series because of the complexity of circumstance. Based on generalized fuzzy soft sets, this paper presents the Time series Generalized Fuzzy Soft Set(TGFSS)and its union operation, intersection operation and scalar multiplication operation. Secondly, according to Geometrical Bonferroni Mean(GBM)operator and S-norm, TGFSSGBM operator is provided to deal with the relevance of different decision-making attributes and the relevance of information from different time points, and some properties of TGFSSGBM operator are also proofed. Subsequently, TGFSSGWBM operator consid-ering weights of different time points is given. On the basis of definitions and proofs mentioned above, a dynamic decision-making model based on TGFSSGWBM operator is put forward. Finally, a numerical example and comparisons among different operators verify the feasibility and effectiveness of the decision-making model provided.关键词
时序广义模糊软集/几何Bonferroni平均算子/时序权重/属性权重Key words
Time series Generalized Fuzzy Soft Sets(TGFSS)/Geometrical Bonferroni Mean(GBM)operator/weights of time series/weights of attributes分类
管理科学引用本文复制引用
邹艳,陈伟杰..基于GBM算子扩展的时序广义模糊软集决策模型[J].计算机工程与应用,2019,55(7):53-57,213,6.基金项目
国家自然科学基金(No.61374128). （No.61374128）
