Naturalness Mapping of Fereydounshahr County with Respect to Ecotourism, Using Ordered Weighted Averaging Operator

This paper presents a new method for genre identification that combines homogeneous classifiers using OWA (Ordered Weighted Averaging) operators. Our method uses character n-grams extracted from different information sources such as URL, title, headings and anchors. To deal with the complexity of web pages, we applied MLKNN as a multi-label classifier, in which a web page can be affected by mor...

This paper presents a new method for genre identification that combines homogeneous classifiers using OWA (Ordered Weighted Averaging) operators. Our method uses character n-grams extracted from different information sources such as URL, title, headings and anchors. To deal with the complexity of web pages, we applied MLKNN as a multi-label classifier, in which a web page can be affected by mor...

This paper discusses identification of parameters of generalized ordered weighted averaging (GOWA) operators from empirical data. Similarly to ordinary OWA operators, GOWA are characterized by a vector of weights, as well as the power to which the arguments are raised. We develop optimization techniques which allow one to fit such operators to the observed data. We also generalize these methods...

The present research proposes a new method to analyze the sustainable development goals (SDGs) index using ordered weighted average (OWA) operators. To develop this method, five experts evaluated and designated relative importance of each 17 SDGs defined by United Nations (UN), with use OWA prioritized (POWA) operators, rankings were generated. With results, it is possible visualize that rankin...

The problem of missing values has long been studied by researchers working in areas data science and bioinformatics, especially the analysis gene expression that facilitates an early detection cancer. Many attempts show improvements made excluding samples with information from process, while others have tried to fill gaps possible values. While former is simple, latter safeguards loss. For that...

An algorithm widely used in hotel companies for demand analysis is the so-called K-means. The aforementioned based on use of Euclidean distance as a dissimilarity measure and this fact can cause main handicap. Concretely, provides global difference between values descriptive variables that blur relative differences each component separately and, hence, cluster assign custom to an incorrect clus...

The Multicriteria Decision Analysis (MCDA) and Geographical Information Systems (GIS) are used to provide more accurate decisions to the decision makers in order to evaluate the effective factors in the natural science. One of the popular algorithm of multicriteria analysis is Ordered Weighted Averaging (OWA). The OWA procedure depends on some parameters, which can be 15 specified by means of f...