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A survey of clustering algorithms for big data: Taxonomy and empirical analysis
(
IEEE Computer Society
, 2014 , Article)
Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into ...
Optimal inconsistency repairing of pairwise comparison matrices using integrated linear programming and eigenvector methods
(
Hindawi Publishing Corporation
, 2014 , Article)
Satisfying consistency requirements of pairwise comparison matrix (PCM) is a critical step in decision making methodologies. An algorithm has been proposed to find a new modified consistent PCM in which it can replace the ...