Measuring Product Similarity with Hesitant Fuzzy Set for Recommendation
نویسندگان
چکیده
The processing of a sparse matrix is hot topic in the recommendation system. This paper applies method hesitant fuzzy set to study problem. Based on uncertain factors process, this theory characterize historical ratings embedded system and studies data problem under condition set. key transform similarity products into two sets by conversion, processing, complement. further considers influence difference user results obtains user’s list. On one hand, proposed effectively solves system; other it provides feasible for calculating
منابع مشابه
New distance and similarity measures for hesitant fuzzy soft sets
The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is regarded as a useful tool for dealing with the uncertainty and ambiguity of real-world problems. In HFSSs, each element is defined in terms of several parameters with arbitrary membership degrees. In addition, distance and similarity measures are considered as the important tools in different areas such as ...
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ژورنال
عنوان ژورنال: Mathematics
سال: 2021
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math9212657