Group decision-making based on heterogeneous preference relations with self-confidence

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Preference relations are very useful to express decision makers’ preferences over alternatives in the process of group decision-making. However, the multiple self-confidence levels are not considered in existing preference relations. In this study, we define the preference relation with self-confidence by taking multiple self-confidence levels into consideration, and we call it the preference relation with self-confidence. Furthermore, we present a two-stage linear programming model for estimating the collective preference vector for the group decision-making based on heterogeneous preference relations with self-confidence. Finally, numerical examples are used to illustrate the two-stage linear programming model, and a comparative analysis is carried out to show how self-confidence levels influence on the group decision-making results

Music distraction among young drivers: analysis by gender and experience

The aim of this study was to quantify the probability of committing a speed infraction by young drivers and to investigate to what extent listening music could affect young drivers’ emotions as well as their driving performances at the wheel. To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. Gender and drivers’ experiences at the wheel were the other factors, which were taken into account when interpreting the study results. Variables taken into account in this study included type of music whilst driving, gender of drivers, and drivers’ driving experiences. These variables further incorporated into the study of other telemetric variables including acceleration, number of revolutions per minute (RPM) of the engine, brake, traffic, and other types of infractions other than speed, which were considered as dependent variables. A driving simulator was used, and different driving simulation studies were carried out with young people aged between 20 and 28 years. Each participant carried out three simulations by listening to different type of music in each journey. The study defined a conceptual model in which the data were analysed and evaluated mathematically through Bayesian networks. A sensitivity analysis was performed to evaluate the influence of music on driving speed. Based on the different variables, the study further analysed the probability of speed infractions committed by drivers and their adequate speed. The range of frequency probabilities varied between 96.32% (which corresponds to experienced male drivers who do not listen to music) and 79.38% (which corresponds to less-experienced female drivers who listen to music), which resulted in their happiness or aggression.FEDER (Fondo Europeo de Desarrollo Regional) for developing Castilla y Le´on´s region. *e title of the project is “Modelizaci´on mediante t´ecnicas de machine learning de la influencia de las distracciones del conductor en la seguridad vial-Modeling the influence of driver´s distractions on road safety through machine learning techniques.” Ref. BU300P1

¿Estamos de acuerdo con la calidad técnica de nuestras radiografías de tórax? Un radiólogo, un técnico especialista en radiodiagnóstico y un médico de familia intentan corroborarlo

ObjetivoValorar el grado de concordancia en la interpretación de la calidad técnica de las radiografías de tórax de un centro de salud entre el técnico especialista en radiodiagnóstico (TER), el médico de familia y el radiólogo.DiseñoEstudio transversal.EmplazamientoAtención primaria. Centro de Salud de Cartuja en Granada.ParticipantesPacientes del Centro de Salud de Cartuja con estudio radiológico simple de tórax durante 2002. Mediante muestreo aleatorio simple se seleccionaron 150 estudios. Se rechazaron 2 por tratarse de exploraciones repetidas del mismo paciente y 7 porque no presentaban una calidad mínima. La muestra final fue de 141 exploraciones.Mediciones principalesLos observadores cumplimentaron independientemente, para cada exploración, un protocolo de 11 ítems sobre calidad técnica de la imagen. Para cada ítem se calculó el índice kappa entre parejas de observadores, así como el índice kappa global.ResultadosEl 96% de las exploraciones fuerealizado con placas radiográficas de gran tamaño (35×43). Sólo en 2 preguntas hubo una concordancia aceptable o buena entre los 3 observadores (kappa=0,559-0,858). En 5 preguntas, la concordancia fue homogéneamente baja (kappa=0,034-0,375). En algunas preguntas se apreció una fuerte discrepancia entre la valoración del TER y la realizada por los otros 2 observadores.ConclusionesLa concordancia general puede considerarse baja, aunque algo mayor entre el radiólogo y el médico de familia que entre cada uno de éstos y el TER. Esto plantea la necesidad de mejorar la formación de los profesionales en cuanto a la valoración de la calidad técnica de las imágenes. Además, se detecta un gasto innecesario de placas radiográficas de gran tamaño.ObjectiveTo appraise the degree of concordance in the interpretation of the technical quality of chest x-rays at a health centre between an expert in x-ray diagnosis, a family doctor, and a radiologist.DesignTransversal study.SettingPrimary care. Cartuja Health Centre, Granada, Spain.ParticipantsPatients at the Cartuja Health Centre who had a simple chest x-ray in 2002. 150 studies were chosen by simple randomised sampling.Two were rejected because they dealt with a repeat examination of the same patient and seven because they did not reach minimum quality. The final sample was 141 x-rays.Main measurementsThe observers filled in independently, for each examination, an 11- item protocol on the technical quality of the images. The kappa index between pairs of observers was calculated for each item, as was the overall kappa index.Results96% of the examinations were conducted with large x-ray plates (35×43). There was only acceptable or good concordance between the 3 observers in 2 questions (kappa, 0.559-0.858). In 5 questions concordance was homogeneously low (kappa, 0.034-0.375). In some questions there was a strong discrepancy between the appraisal of the expert and that of the 2 other observers.ConclusionsGeneral concordance can be considered low, although it is somewhat greater between the radiologist and the family doctor than between either of these and the expert. This poses the need to improve professional training in evaluation of the technical quality of images. In addition, there was unnecessary expense in large-size x-ray plates

GDMR A new framework in R to suppot Fuzzy Group Decision Making processes

This is a summary of our article published in Information Science [12] to be part of the MultiConference CAEPIA'15 KeyWorks

A new type of preference relations: Fuzzy preference relations with self-confidence

Preference relations are very useful to express decision makers’ preferences over alternatives in the process of decision-making. However, multiple self-confidence levels are not considered in existing preference relations. In this study, we propose a new type of preference relations: fuzzy preference relations with self-confidence. A linear programming model is proposed for estimating priority vectors of this new type of preference relations. Finally, two numerical examples are provided to demonstrate the linear programming model, and a comparative analysis is used to show the influence of self-confidence levels on the decision-making results

A Web Information System to Improve the Digital Library Service Quality

To asses the quality of the services provided by a digital library, traditional measures, such as the size of its collection, have usually been utilized. However, service quality also has to be evaluated by considering users’ expectations. In addition, as a digital library plays an important role in the educational progress of a society, it is very important not only to measure the quality of its services but also to improve them. In this contribution, we present a web information system which supports the staff of a digital library to carry out decisions with the aim of improving the services offered by it. To do so, this system provides some advice taking into account both objective criteria, related to quantitative data, and subjective criteria, related to users’ judgments

Acute flaccid myelitis and Guillain-Barré syndrome in children: A comparative study with evaluation of diagnostic criteria

Background and purpose: Differentiation between acute flaccid myelitis (AFM) and Guillain-Barré syndrome (GBS) can be difficult, particularly in children. Our objective was to improve the diagnostic accuracy by giving recommendations based on a comparison of clinical features and diagnostic criteria in children with AFM or GBS. Methods: A cohort of 26 children with AFM associated with enterovirus D68 was compared to a cohort of 156 children with GBS. The specificity of the Brighton criteria, used for GBS diagnosis, was evaluated in the AFM cohort and the specificity of the Centers for Disease Control and Prevention (CDC) AFM diagnostic criteria in the GBS cohort. Results: Children with AFM compared to those with GBS had a shorter interval between onset of weakness and nadir (3 vs. 8 days, p < 0.001), more often had asymmetric limb weakness (58% vs. 0%, p < 0.001), and less frequently had sensory deficits (0% vs. 40%, p < 0.001). In AFM, cerebrospinal fluid leukocyte counts were higher, whereas protein concentrations were lower. Spinal cord lesions on magnetic resonance imaging were only found in AFM patients. No GBS case fulfilled CDC criteria for definite AFM. Of the AFM cases, 8% fulfilled the Brighton criteria for GBS, when omitting the criterion of excluding an alternate diagnosis. Conclusions: Despite the overlap in clinical presentation, we found distinctive early clinical and diagnostic characteristics for differentiating AFM from GBS in children. Diagnostic criteria for AFM and GBS usually perform well, but some AFM cases may fulfill clinical diagnostic criteria for GBS. This underlines the need to perform diagnostic tests early to exclude AFM in children suspected of atypical GBS.The Prinses Beatrix Spierfonds funded the PhD project of J.R. on GBS in children (project number: W.OR12-04)S

Riemannian submersions from almost contact metric manifolds

In this paper we obtain the structure equation of a contact-complex Riemannian submersion and give some applications of this equation in the study of almost cosymplectic manifolds with Kaehler fibres.Comment: Abh. Math. Semin. Univ. Hamb., to appea

Microbiota and body weight control: weight watchers within?

Despite several decades of research, managing body weight remains an unsolved clinical problem. Health problems associated with dysregulated body weight, such as obesity and cachexia, exhibit several gut microbiota alterations. There is an increased interest in utilising the gut microbiota for body weight control, as it responds to intervention and plays an important role in energy extraction from food, as well as biotransformation of nutrients. This review provides an overview of the role of the gut microbiota in the physiological and metabolic alterations observed in two body weight dysregulation-related disorders, namely obesity and cachexia. Second, we assess the available evidence for different strategies, including caloric restriction, intermittent fasting, ketogenic diet, bariatric surgery, probiotics, prebiotics, synbiotics, high-fibre diet, and fermented foods - effects on body weight and gut microbiota composition. This approach was used to give insights into the possible link between body weight control and gut microbiota configuration. Despite extensive associations between body weight and gut microbiota composition, limited success could be achieved in the translation of microbiota-related interventions for body weight control in humans. Manipulation of the gut microbiota alone is insufficient to alter body weight and future research is needed with a combination of strategies to enhance the effects of lifestyle interventions

GDM-VieweR: A new tool in R to visualize the evolution of fuzzy consensus processes

With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases many experts, and a huge number of different alternatives. In the literature we can find a great deal of methodologies to assist multi-person decision making. However these classical approaches are not prepared to deal with such a huge complexity and there is a lack of tools that support the decision processes providing some graphical information. Therefore the main objective of this contribution is to present an open source tool developed in R to provide a quick insight of the evolution of the decision making by means of meaningful graphical representations. Thanks to the modular architecture of this solution this tool can be easily adapted to work with various Group decision making methodologies