Document similarity: a new measure using OWA

Ali Emrouznejad, Gholam R. Amin

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

In this paper, we propose a new similarity measure to compute the pair-wise similarity of text-based documents based on patterns of the words in the documents. First we develop a kappa measure for pair-wise comparison of documents then we use ordered weighting averaging operator to define a document similarity measure for a set of documents.
Original languageEnglish
Title of host publicationSixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09
EditorsYixin Chen, Hepu Deng, Degan Zhang, Yingyuan Xiao
PublisherIEEE
Pages186-190
Number of pages5
Volume7
ISBN (Print)978-0-7695-3735-1
DOIs
Publication statusPublished - 2009
Event6th international conference on Fuzzy Systems and Knowledge Discovery - Tianjin, China
Duration: 14 Aug 200916 Aug 2009

Conference

Conference6th international conference on Fuzzy Systems and Knowledge Discovery
Abbreviated titleFSKD '09
CountryChina
CityTianjin
Period14/08/0916/08/09

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    Emrouznejad, A., & Amin, G. R. (2009). Document similarity: a new measure using OWA. In Y. Chen, H. Deng, D. Zhang, & Y. Xiao (Eds.), Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09 (Vol. 7, pp. 186-190). IEEE. https://doi.org/10.1109/FSKD.2009.817