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In the present case, the development of fuzzification algorithms of fuzzification requires the integration of a deployment platform with the required processing power. The choice of a grid architecture seems to be an appropriate answer to our needs since it allows us to distribute the processing over all the machines of the platform, thus creating the illusion of a virtual computer able to solve important computing problems which require very long run times in a single machine environment. The authors propose to enhance similarity by upstream and downstream parallel processing. The first deploys the fuzzy linear model in a Grid environment. The second deals with multi-view datasets while introducing different architectures by using several instances of a fuzzy triadic similarity algorithm.<\/p>","DOI":"10.4018\/ijssmet.2014010104","type":"journal-article","created":{"date-parts":[[2014,8,6]],"date-time":"2014-08-06T14:46:26Z","timestamp":1407336386000},"page":"66-83","source":"Crossref","is-referenced-by-count":1,"title":["Grid-Based Fuzzy Processing for Parallel Learning the Document Similarities"],"prefix":"10.4018","volume":"5","author":[{"given":"Minyar Sassi","family":"Hidri","sequence":"first","affiliation":[{"name":"Ecole Nationale d'Ing\u00e9nieurs de Tunis, Universit\u00e9 de Tunis El Manar, Tunis, Tunisia"}]},{"given":"Sonia Alouane","family":"Ksouri","sequence":"additional","affiliation":[{"name":"Ecole Nationale d'Ing\u00e9nieurs de Tunis, Universit\u00e9 de Tunis El Manar, Tunis, Tunisia"}]},{"given":"Kamel","family":"Barkaoui","sequence":"additional","affiliation":[{"name":"CEDRIC-CNAM Paris, Paris, France"}]}],"member":"2432","reference":[{"key":"ijssmet.2014010104-0","first-page":"265","article-title":"Fuzzy triadic similarity for text categorization: Towards parallel computing.","author":"S.Alouane","year":"2013","journal-title":"Proceedings of the International Conference on Web and Information Technologies"},{"key":"ijssmet.2014010104-1","author":"A. 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