Approximation to the theory of affinities to manage the problems of the groupping process

New economic and enterprise needs have increased the interest and utility of the methods of the grouping process based on the theory of uncertainty. A fuzzy grouping (clustering) process is a key phase of knowledge acquisition and reduction complexity regarding different groups of objects. Here, we considered some elements of the theory of affinities and uncertain pretopology that form a significant support tool for a fuzzy clustering process. A Galois lattice is introduced in order to provide a clearer vision of the results. We made an homogeneous grouping process of the economic regions of Russian Federation and Ukraine. The obtained results gave us a large panorama of a regional economic situation of two countries as well as the key guidelines for the decision-making. The mathematical method is very sensible to any changes the regional economy can have. We gave an alternative method of the grouping process under uncertainty

Impact of emerging technologies in banking and finance in Europe: A volatility spillover and contagion approach

The empirical evidence suggests that stock returns in the emerging technology environment exhibit high stock return volatility. The fundamental aim of the article is to investigate the dynamic, time series properties of the correlations between daily log returns and magnitude of the volatility transmissions from the emerging technologies environment to the Spanish banking sector, the Spanish market portfolio and the finance industry in the EU area. Using daily log returns for the performance variables and an equally weighted index was constructed as proxy to represent the emerging technology phenomena covering a period from the 7th of July of 2015 to the 20th of September of 2019. The study applies generalized autoregressive conditional heteroskedasticity GARCH followed by the diagonal BEKK approach (...

The permanence of the client under uncertain estimations

Marketing has studied the permanence of a client within an enterprise because it is a key element in the study of the value (economic) of the client (CLV). The research that they have developed is based in deterministic or random models, which allowed estimating the permanence of the client, and the CLV. However, when it is not possible to apply these schemes for not having the panel data that this model requires, the period of time of a client with the enterprise is uncertain data. We consider that the value of the current work is to have an alternative way to estimate the period of time with subjective information proper of the theory of uncertainty

A Microbiology Application of the Skew-Laplace Distribution

Flow cytometry scatter are ofen used in microbiology, and their measures are related to bacteria size and granularity. We present an application of the skew-Laplace distribution to flow cytometry data. The goodness of fit is evaluated both graphically and numerically. We also study skewness and kurtosis values to assess usefulness of the skew-Laplace distribution

OWA operators in human resource management

We develop a new approach that uses the ordered weighted averaging (OWA) operator in different methods for the selection of human resources. The objective of this new model is to manipulate the neutrality of the old methods, so the decision maker can select human resources according to his degree of optimism or pessimism. In order to develop this model, first, a short revision of the OWA operators is introduced. Next, we briefly explain the general model for the selection of human resources and suggest three new indexes for the selection of human resources that use the OWA operator and the hybrid average in the Hamming distance, in the adequacy coefficient and in the index of maximum and minimum level. The main advantage of this method is that it is more complete than the previous ones so the decision maker gets a better understanding of the decision problem. The work ends with an illustrative example that shows the results obtained by using different types of aggregation operators in the new approaches.

OWA Operators in Generalized Distances

Different types of aggregation operators such as the ordered weighted quasi-arithmetic mean (Quasi-OWA) operator and the normalized Hamming distance are studied. We introduce the use of the OWA operator in generalized distances such as the quasi-arithmetic distance. We will call these new distance aggregation the ordered weighted quasi-arithmetic distance (Quasi-OWAD) operator. We develop a general overview of this type of generalization and study some of their main properties such as the distinction between descending and ascending orders. We also consider different families of Quasi-OWAD operators such as the Minkowski ordered weighted averaging distance (MOWAD) operator, the ordered weighted averaging distance (OWAD) operator, the Euclidean ordered weighted averaging distance (EOWAD) operator, the normalized quasi-arithmetic distance, et

Fifty years of fuzzy research: A bibliometric analysis and a long-term comparative overview

This paper presents a general overview and a long-term comparison in fuzzy logic research published between 1965 and 2017, obtained via Web of Science. The paper analyzes the growth, impact, trends and regional localization of fuzzy re-search. Conventional, sophisticated among others bibliometric indicators have applies. It aggregates the information according to different levels and criteria including researchers, publications, institutions, or countries. A global perspective have been provided through comparisons of regional aggregates and compound annual growth rates that strengthen the indicators applied in this article. The results permit to visualize the influence, importance, evolution and performance of the fuzzy research as well its contribution to, and transversality with other fields. The findings show that China continues to be a leader in number of contributions. There has been a recent relative decline in the United States contributions overall. Asian and African contribu-tions to scientific literature have grown noticeably. The results also provide a framework for the use of indicators adjusted to specific contexts and relevant information for future research

Analysis of the relationship between the economic activity of regions and welfare of its inhabitants

This research aims to reveal and quantify the magnitude of determination of economic activity on the welfare level of citizens. This is a crucial issue for all governments in Catalonia. In this research, Barcelona metropolitan area, the regions of the North Pyrenees and the rest of coastal and inland regions, each with different characteristics and specificities are analyzed. The governing institutions that manage the resources of the autonomous region, it is important that all citizens, regardless of where they live, can have the same level of welfare. For this reason, this research presents a first step in order to release the nature of the problem and to show to what extent, in quantitative terms, the economic activity types influence welfare. This analysis may guide the governors to take the necessary decisions in order to carry equal treatment to the all population

Towards a competitiveness in the economic activity in Colombia: Using Moore's families and Galois lattices in clustering

This paper is aimed to find affinities between each Colombian region through economic activities analysis focusing on crucial role of location to be further competitiveness. The mathematical models of Moore families' and Galois lattices are used to identify a kind of industry in a region and its economic activity affinities. The results obtained from the calculation, we are shown 6 lattices formed with a great deal of affinity groupings within each of them. These groups have allowed us analysing economic activity-region by each region and identifying what kind of industry is developed within them. Finally, it is highlighted that these mathematical models give a prospective view of regional and national economic activity from general level to specific level, which can be used as tool for analyzing environments, policymaking and encouraging business development. Likewise, these models can offer a new manner to analyse socio-economic changes with a great deal with uncertainty

Determinantes de la satisfacción con la vida en adultos mayores en México

Siguiendo el modelo de Salazar & Arenas (2016) y mediante la estimación de ecuaciones de regresión y pareo, se estudian los determinantes de la satisfacción con la vida (SV) comparando entre adultos mayores y adultos menores en México. Se identifica que la diferencia entre los adultos mayores y menores en México se gesta entre los 60 y 65 años y que las personas de 65 y más muestran una menor SV que los menores. Por su parte, el contar con redes sociales, tener alguna filiación religiosa, la autopercepción de pertenecer al estrato medio alto o alto de la población y la satisfacción con el tiempo de ocio, tienen efectos positivos y estadísticamente significantes en su nivel de SV. Adicionalmente en México no se verifica la forma de U que teóricamente se espera entre edad y SV al tomar la población adulta como un todo, ni hacia dentro de los grupos de adultos menores de 65 o de esta edad en adelante