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A Linguistic IRS Based on Prioritized Aggregation of Triangular Fuzzy Numbers
Wang, Songxin
2012
关键词Information retrieval Prioritized aggregation Triangular uninorms fuzzy set
卷号114
页码539-546
英文摘要Information retrieval (IR) is the science of searching for documents, for information within documents, and for metadata about documents, as well as that of searching relational databases and the World Wide Web. In this paper we present a linguistic information retrieval system (IRS) based on prioritized aggregation of triangular fuzzy numbers, for dealing with such a problem. The advantage of this method with respect to other works is the use of the fuzzy prioritized weighting information that facilitates the expression of information needs and its ability of trade off between criteria with different priority levels. Another advantage of the method is that triangular uninorms are used to deal with the criteria priority in the process, more generality and flexibility is then obtained.
会议录出版者SPRINGER-VERLAG BERLIN
会议录出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种英语
WOS研究方向Computer Science
WOS记录号WOS:000310715400067
内容类型会议论文
源URL[http://10.2.47.112/handle/2XS4QKH4/3088]  
专题上海财经大学
作者单位Univ Shanghai Univ Finance & Econ, Dept Comp Sci & Technol, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Wang, Songxin. A Linguistic IRS Based on Prioritized Aggregation of Triangular Fuzzy Numbers[C]. 见:.
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