The goal of the paper is to present a novel Chi-square similarity measure and assess its performance through comparison with well-known similarity measures such as Cosine, Dice, and Jaccard. The Chi-square similarity measure has been designed to withstand the imperfections of transcribed spoken documents. The major difference of our similarity measure from others consists in the fact that in ad...

Being imitated has a wide range of pro-social effects, but it is not clear how these effects are mediated. Naturalistic studies of the effects of being imitated have not established whether pro-social outcomes are due to the similarity and/or the contingency between the movements performed by the actor and those of the imitator. Similarity is often assumed to be the active ingredient, but we hy...

The purpose of this paper is to develop a new two-stage method for fuzzy multi-objective linear program and apply to engineering project portfolio selection. In the fuzzy multi-objective linear program, all the objective coefficients, technological coefficients and resources are trapezoidal fuzzy numbers (TrFNs). An order relationship for TrFNs is introduced by using the interval expectation of...

A novel ranking method based on multi-time information fusion is proposed for intuitionistic fuzzy sets (IFSs) and applied to the threat assessment problem, a multi-attribute decision making (MADM) one. This method integrates a designed intuitionistic fuzzy entropy (IFE), the closeness degree of technique for order preference by similarity to ideal solution (TOPSIS), the decision maker¡¯s (DM¡¯...

In this paper we present a novel application of compositional distributional semantic models (CDSMs): prediction of lexical typology. The paper introduces the notion of typological closeness, which is a novel rigorous formalization of semantic similarity based on comparison of multilingual data. Starting from the Moscow Database of Qualitative Features for adjective typology, we create four dat...

In some schools and universities, students from the same grade must sometimes be divided into several teams within a classroom in such a way that each team provides a good representation of the classroom population. Therefore a first problem to solve is to choose student attributes (criteria) to include into the process of designing the teams and to determine their relative importance for the s...

We introduce a new method for determining work dependencies that are antecedents to coordination requirements among members of a software development organization. Our method leverages records of individual activity associated with development tasks, sometimes called task context, which can be collected by monitoring the actions carried out by a developer during work sessions within her develop...

Cultural differences in individualism and collectivism (I-C) describe important variations in how the self relates to others, but existing scales may be too broadband to precisely measure this aspect of I-C. They also do not distinguish among particular ingroups and types of interdependence with them. The Circles of Closeness scale addresses these limitations. Initial results from Euro-American...

Abstract Accurate identification of fault source causing voltage sag is great significance to the governance and further research sag. In this paper, a method based on improved grey correlation analysis (GRA) proposed. view deficiency that traditional GRA only considers similarity, proposed geometric area slope sequence into calculation coefficient, so has attributes both similarity data closen...

Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. Existing clustering algorithms, such as K -means, PAM, CLARANS, DBSCAN, CURE, and ROCK are designed to find clusters that fit some static models. These algorithms can breakdown if the choice of parameters in the static model ...