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The multi-criteria decision making process can be summarized as follows. Given a pattern d and a set C = {c_1, c_2, .., c_m} of allmpossible categories of d, we are interested in predicting its class by using a set of n classifiers l_1, l_2, .., l_n. Each classifier produces a ranking of categories. In this paper we propose and test a decision method which combines the rankings by using a particular method, called rank distance categorization. This method is actually based on the rank distance, a metric which was successfully used in computational linguistics and bioinformatics. We define the method, present some of its mathematical and computational properties and we test it on the digit dataset consisting of handwritten numerals ('0', .., '9') extracted from a collection of Dutch utility maps. We compare our experimental results with other reported experiments which used the same dataset but different combining methods. [ABSTRACT FROM AUTHOR]

We exhibit a low-complexity but non-trivial distance between strings to be used in biology. The experimental results we provide were obtained on a standard laptop and, even if preliminary, are quite encouraging. [ABSTRACT FROM AUTHOR]

In this paper we introduce a metric for measuring the similarity between two classifications which differ by their constitutive elements. Our measure is inspired from natural language and genomics where the most important information is carried by the first part of the unit. We extend the measure to words and to rooted (un)labelled general trees. We use this metric to analyze the syllabic similarity of Romance languages. [ABSTRACT FROM AUTHOR]

In this paper we present an aggregation method which can be applied to classifications having different vocabularies. The method uses the rank distance (Dinu, 2003), a metric which measures the similarity between two hierarchies based on the ranks of objects. We define the aggregation of n hierarchies as the classification for which the sum of distances from it to each of the n hierarchies is minimal. We study some of his rationality properties and propose some open problems. [ABSTRACT FROM AUTHOR]