Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2014 -> Volume 6, Issue 3, September
Improving n-Similarity Problem by Genetic Algorithm and Its Application in Text Document Resemblance
Oleh : M. Mirhosseini, M. Mashinchi, H. Nezamabadi-pour, Fuzzy Information and Engineering
Dibuat : 2014-09-21, dengan 1 file
Keyword : SimilarityGenetic algorithmSimilarity measure
Url : http://www.sciencedirect.com/science/article/pii/S1616865814000405
Sumber pengambilan dokumen : web
In this paper, some methods of similarity measures between objects are presented with their properties reviewed. The study is conducted to propose a new method based on genetic algorithm in order to reduce the time complexity of finding n most similar objects among the huge number of objects. This method is tested on two applications. The former aims at finding the most similar residents in a condominium, and the latter deals with finding the most similar n-groups of text documents out of a great dataset. The simulation results show that the proposed method can efficiently improve the order of time complexity especially for the second application.
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