For the stochastic multi-criteria decision-making problem, in which the information on criteria's weights is incomplete and the indices value of alternatives are in the form of interval neutrosophic fuzzy numbers, an interval neutrosophic random decision-making approach based on WYCIN certainty factor and prospect theory is proposed. According to the score function of interval neutrosophic fuzz...

The paper is devoted to the investigation of imprecision indices, introduced in [7]. They are used for evaluation of uncertainty (or more exactly imprecision), which is contained in information given by fuzzy (nonadditive) measures, in particular, by lower or upper probabilities. We argue that there exist various types of uncertainty, for example, randomness, investigated in probability theory,...

Using only ordinal axioms, we characterize several multigroup school segregation indices: the Atkinson Indices for the class of school districts with a given …xed number of ethnic groups and the Mutual Information Index for the class of all districts. Properties of other school segregation indices are also discussed. In an empirical application, we document a weakening of the e¤ect of ethnicity...

How can we decompose a data tensor if the indices are partially missing? Tensor decomposition is a fundamental tool to analyze the tensor data. Suppose, for example, we have a 3rd-order tensor X where each element Xijk takes 1 if user i posts word j at location k on Twitter. Standard tensor decomposition expects all the indices are observed. However, in some tweets, location k can be missing. I...

This paper presents a new family of indices for the frequency domain analysis of heart rate variability time series that do not need any frequency band definition. After proper detrending of the time series, a cumulated power spectrum is obtained and frequencies that contain a certain percentage of the power below them are identified, so median frequency, bandwidth and a measure of the power sp...

Geographically distributed and time-phased ecological and socio-economical indices are treated as source data for the analysis, carried out for taking reasoned management decision. Analysis complexity, related to multi-dimensional data is overcome thanks to using group methods of data handling (GMDH). This work shows the results of Ukraine's regions cluster analysis by the totality of ecologica...

Numerical graph theoretic invariants or topological indices (TIs) and principal components (PCs) derived from TIs have been used in discriminating a set of isospectral graphs. Results show that lower order connectivity and information theoretic TIs suffer from a high degree of redundancy, whereas higher order indices can characterize the graphs reasonably well. On the other hand, PCs derived fr...

The paper discusses the process of developing Semantic Annotations, a form of metadata for assigning conceptual entities to textual instances, in this case archaeological grey literature. The use of Information Extraction (IE), a Natural Language Processing (NLP) technique is central to the annotation process. The paper explores the use of Ontology Oriented Information Extraction (OOIE) methods...

AIM The aim of this study was to test the usability of selected narrativity indices identified from autobiographical accounts of important relationships in an assessment of neurotic (NPO) and borderline personality organization (BPO). METHODS Narrativity indices, both particular and generalized, were used to predict personality organization levels. Indices were derived from two separate layer...

A comparative study of 36 molecular descriptors derived from the topological distance matrix and van der Waals space is carried out within this paper. They are partitioned into 16 generalized topological distance matrix indices, 11 topological distance indices known in the literature (seven obtained from eigenvalues/eigenvectors of distance matrix), and 9 van der Waals molecular descriptors. Th...