Multi-granular hesitant fuzzy linguistic term sets and their application in group recommendation

作者：Chen, Xiuming; Liu, Yezheng

来源：Systems Engineering-Theory & Practice, 2016, 36(8): 2078-2085.

DOI：10.12011/1000-6788(2016)08-2078-08

• Distance measure
• Euclidean distance
• Group recommendations
• Hesitant fuzzy linguistic term sets
• Network platforms
• Preference information
• Satisfaction degrees
• Weighted distance measures

Concerning to the problem that the preference information of the individuals from different groups coming from different network platforms, and the individuals of different groups are often hesitant and fuzzy when they express the preference information of the multiple criteria recommended items. Fristly, the concept of multi-granular hesitant fuzzy linguistic term sets (MHFLTS) is defined, and different types of distance measures of between two MHFLTSs are proposed, which based on the traditional distance measures such as the Hamming distance, the Euclidean distance, and the Hausdorff metric. Secondly, a variety of weighted distance measures between two collections of MHFLTSs are proposed and the properties of these formulas are investigated. This paper also discuss the differences between the proposed distance measures. Finally, combined with satisfaction degree formula these distance measures are used in group recommendation. We further analyze the influence of the parameters of distance measures to the satisfaction degree and the influence of the parameters of satisfaction degree to the movie ranking.

• 出版日期2016
• 单位合肥工业大学