%0 Journal Article
%T Searching Web Documents Using a Fuzzy-Based Method
%A Aniello Nappi
%A Enrico Fischetti
%J Asian Journal of Fuzzy and Applied Mathematics
%D 2017
%R 10.24203/ajfam.v5i2.4488
%X Web searching could be more fruitful if a user could easily find documents which satisfy his/her needs in terms of structure, format and contents. Herein a solution through a fuzzy linguistic description of the document is proposed, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. The documents retrieved by a web search engine are organized in clusters and ordered in each cluster
%K [Web documents
%K Search algorithms
%K Type-2 fuzzy sets
%K Linguistic variables
%K User modeling]
%U https://www.ajouronline.com/index.php/AJFAM/article/view/4488