摘要
针对群推荐系统中被推荐项目具有多粒度性、犹豫性、模糊性的特点,首先在多粒度犹豫模糊语言术语集的基础上,提出多粒度犹豫模糊语言熵的概念及计算公式,采用熵的计算公式求解被推荐项目的属性权重;然后,将传统的多准则妥协解排序法(VIKOR)拓展到多粒度犹豫模糊领域,并对其妥协解公式加以改进,将改进的VIKOR方法用于群推荐;最后,从理论分析、数值计算和敏感性分析3个方面将改进的VIKOR方法与逼近理想解排序法(TOPSIS)进行对比,所得结果表明了所提出方法在群推荐应用中的合理性和有效性.
According to the characteristics of recommended items in a group recommendation system, i.e.,multi-granularity, hesitantcy, fuzziness, firstly, based on the concept of multi-granular hesitant fuzzy linguistic term sets（MHFLTSs）, the concept and calculation formula of the multi granularity hesitant fuzzy linguistic entropy are defined, and the attributes of recommended items can be calculated by using MHFLTSs＇ entropy measures. Then, the traditional VIKOR method is extended to the multi-granularity fuzzy domain, and the compromise solution formula is improved. The improved VIKOR method is applied to the group recommendation. Finally, the VIKOR method and TOPSIS method are compared from three aspects of theoretical analysis, numerical calculation and sensitivity analysis.The results show that the proposed method is reasonable and effective in the application of group recommendation.
出处
《控制与决策》
EI
CSCD
北大核心
2018年第1期111-118,共8页
Control and Decision
基金
国家自然科学基金重大项目(71490725)
国家自然科学基金项目(71371062)
国家973计划项目(2013CB329603)
安徽省教育厅重点自然科学项目(KJ2015A300)
关键词
多粒度犹豫模糊语言术语集
VIKOR方法
群推荐方法
熵权法
multi-granular hesitant fuzzy linguistic term sets
VIKOR method
group recommendation methods
entropy measure
