El tiempo de la matemática

Since the Old Order of the Time was subverted in Greece by establishing a New Order of the Space, the conjugation of Mathematics with temporality has been extremely problematic. Those have escaped from the temporary obligation both as delimiting their objects as assigning them their truth or falsehood. Nevertheless, the History of Mathematics seems to indicate that where truths of this science try to lead an independent existence apart from their creators, that is to say, in the context of their justification, time exerts its retaliations upon this escape.

La mineralització kàrstica (Ba,Cu,Pb,Zn,Sb) de Rocabruna i de Can Pubill, Pirineo Oriental: geologia, morfologia i gènesi

La mineralització consisteix en el rebliment de cavitats mètriques de morfologia kàrstica, encaixades en dolomies Cambro-Ordovicianes. Les cavitats són plenes de baritina amb una aurèola centi a mil·limètrica de quars i sulfurs (tetraedrita-tennantita, calcopirita, galena, esfalerita). La mineralització és situada a prop i per sota d'una paleosuperficie sobre la qual es depositaren els red-beds, amb disseminacions de baritina, de fàcies garumniana (Cretaci superior-Paleocè). Les condicions de deposició son coherents amb una precipitació a partir de solucions, inicialment àcides, que omplien cavitats preexistents.

Application of fuzzy-rule-based postprocessing to correlation methods in pattern recognition

One of the most important problems in optical pattern recognition by correlation is the appearance of sidelobes in the correlation plane, which causes false alarms. We present a method that eliminate sidelobes of up to a given height if certain conditions are satisfied. The method can be applied to any generalized synthetic discriminant function filter and is capable of rejecting lateral peaks that are even higher than the central correlation. Satisfactory results were obtained in both computer simulations and optical implementation.

Experiencia de tutorización individual en la matemática empresarial utilizando la red

En este artículo presentamos una experiencia de innovación docente de tutorización individualizada. Esta experiencia se realizó en la asignatura de Introducción a la matemática Económica y Empresarial de la Diplomatura en Ciencias Empresariales de la Universidad de Barcelona durante el curso 2006-2007. Se trata de una asignatura semestral, de seis créditos y de libre elección que se imparte durante el primer semestre de cada año académico. Este proyecto se inscribe dentro de los nuevos enfoques docentes propuestos en el Espacio Europeo de Educación Superior. Esto supone la adopción de nuevos métodos pedagógicos que se enmarcan dentro de la docencia en el nuevo entorno educativo. Nuestra experiencia docente en las asignaturas de Matemática aplicadas a las ciencias sociales de la Diplomatura en Ciencias Empresariales de la Universidad de Barcelona, nos ha permitido constatar que la participación de los alumnos en las tutorías presenciales es baja y que se produce un descenso en la asistencia a clase a medida que avanza el curso. Esto genera que los estudiantes abandonen la asignatura antes de finalizar el curso, no se presenten a las pruebas de evaluación y que su rendimiento académico sea insuficiente. Este contexto motivó un intento de rediseño del sistema de tutorías. Para ello, se construyó un espacio virtual de tutorización y se probó con una muestra aleatoria de 50 alumnos. Los resultados de la experiencia piloto de tutorías señalan una clara mejora de las tres situaciones anteriores. Actualmente, estamos analizando la viabilidad de este proyecto en grupos masificados.

A fuzzy-based decision model application on strategic management

In this article, the objective is to demonstrate the effects of different decision styles on strategic decisions and likewise, on an organization. The technique that was presented in the study is based on the transformation of linguistic variables to numerical value intervals. In this model, the study benefits from fuzzy logic methodology and fuzzy numbers. This fuzzy methodology approach allows us to examine the relations between decision making styles and strategic management processes when there is uncertainty. The purpose is to provide results to companies that may help them to exercise the most appropriate decision making style for its different strategic management processes. The study is leaving more research topics for further studies that may be applied to other decision making areas within the strategic management process.

Modelización matemática

La modelización matemática pretende describir la realidad en términos matemáticos,una tarea difícil y que, sin embargo,está jalonada de éxitos sorprendentes. Elproceso de modelización matemática puede esquematizarse en el cuadro de la figura.A partir de un problema dado, de Índole físi ca, tecnológica, biológica. económica.ete., la primera etapa consiste en la formulación matemática del problema. Suobjetivo es asocia rle un modelo matemático que lo describa. Ello obliga a teneren cuenta únicamente una parte de las características que in tervienen en el problemainicial y prescindir de otras que se consideran accesorias o incluso irrclevantespara su resolución. Hay que hacer hipótesis sobre la influencia de los diferentesfactores que intervienen . Son elecciones difíciles y susceptibles de ser modificadasposteriormente. Para obtener el modelo matemático tenemos que conseguir traduciral lenguaje matemático las características seleccionadas. En el modelo matemáticoéstas apareceran en la forma de variables, funciones, ecuaciones, ete. A continuacióndebemos resolver el problema matemático resultante para obtener resultados concretos,normalmente numéricos.

A method for decision making with the OWA operator

A new method for decision making that uses the ordered weighted averaging (OWA) operator in the aggregation of the information is presented. It is used a concept that it is known in the literature as the index of maximum and minimum level (IMAM). This index is based on distance measures and other techniques that are useful for decision making. By using the OWA operator in the IMAM, we form a new aggregation operator that we call the ordered weighted averaging index of maximum and minimum level (OWAIMAM) operator. The main advantage is that it provides a parameterized family of aggregation operators between the minimum and the maximum and a wide range of special cases. Then, the decision maker may take decisions according to his degree of optimism and considering ideals in the decision process. A further extension of this approach is presented by using hybrid averages and Choquet integrals. We also develop an application of the new approach in a multi-person decision-making problem regarding the selection of strategies.

Reconocimiento y representación digital de la notación matemática manual

El trabajo muestra un estudio comparativo de las soluciones que plantean diferentes soluciones comerciales y/o libres para la adecuación o no a su integración en un entorno como es el campus virtual de la UOC. Para esto se ha elaborado una lista de indicadores clave y más adelante se ha hecho una valoración de la integración en el entorno UOC, relacionando los indicadores anteriores con los requerimientos de la UOC. Investigando previamente cuales son estos. Por último se ha comprobado y corroborado la posible integración de la solución elegida al campus virtual, con el desarrollo de una pequeña aplicación web.

Neural networks complemented with genetic algorithms and fuzzy systems for predicting nitrogenous effluent variables in wastewater treatment plants

This work focuses on the prediction of the two main nitrogenous variables that describe the water quality at the effluent of a Wastewater Treatment Plant. We have developed two kind of Neural Networks architectures based on considering only one output or, in the other hand, the usual five effluent variables that define the water quality: suspended solids, biochemical organic matter, chemical organic matter, total nitrogen and total Kjedhal nitrogen. Two learning techniques based on a classical adaptative gradient and a Kalman filter have been implemented. In order to try to improve generalization and performance we have selected variables by means genetic algorithms and fuzzy systems. The training, testing and validation sets show that the final networks are able to learn enough well the simulated available data specially for the total nitrogen

Aplicaciones de la Teoría de Matrices en Matemática Discreta

Se describen algunas aplicaciones de la teoría de matrices a diversos temas pertenecientes alámbito de la matem\'atica discreta.

Integrating defeasible argumentation with fuzzy ART neural networks for pattern classification

Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input, and a number of clusters c1,...cm modelling some concept C results as an output, such that every cluster ci is labelled as positive or negative. Given a new, unlabelled instance enew, the above classification is used to determine to which particular cluster ci this new instance belongs. In such a setting clusters can overlap, and a new unlabelled instance can be assigned to more than one cluster with conflicting labels. In the literature, such a case is usually solved non-deterministically by making a random choice. This paper presents a novel, hybrid approach to solve this situation by combining a neural network for classification along with a defeasible argumentation framework which models preference criteria for performing clustering.

Adding similarity-based reasoning capabilities to a Horn fragment of possibilistic logic with fuzzy constants

PLFC is a first-order possibilistic logic dealing with fuzzy constants and fuzzily restricted quantifiers. The refutation proof method in PLFC is mainly based on a generalized resolution rule which allows an implicit graded unification among fuzzy constants. However, unification for precise object constants is classical. In order to use PLFC for similarity-based reasoning, in this paper we extend a Horn-rule sublogic of PLFC with similarity-based unification of object constants. The Horn-rule sublogic of PLFC we consider deals only with disjunctive fuzzy constants and it is equipped with a simple and efficient version of PLFC proof method. At the semantic level, it is extended by equipping each sort with a fuzzy similarity relation, and at the syntactic level, by fuzzily “enlarging” each non-fuzzy object constant in the antecedent of a Horn-rule by means of a fuzzy similarity relation.

Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification

Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating the treatment of possibilistic uncertainty at the object-language level. In spite of its expressive power, an important limitation in P-DeLP is that imprecise, fuzzy information cannot be expressed in the object language. One interesting alternative for solving this limitation is the use of PGL+, a possibilistic logic over Gödel logic extended with fuzzy constants. Fuzzy constants in PGL+ allow expressing disjunctive information about the unknown value of a variable, in the sense of a magnitude, modelled as a (unary) predicate. The aim of this article is twofold: firstly, we formalize DePGL+, a possibilistic defeasible logic programming language that extends P-DeLP through the use of PGL+ in order to incorporate fuzzy constants and a fuzzy unification mechanism for them. Secondly, we propose a way to handle conflicting arguments in the context of the extended framework.

El desenvolupament de la morfologia verbal: l'imperfet nord-occidental en la producció infantil

L'objectiu d'aquest article és contribuir a l'estudi de la morfologia verbal catalana, en aquest cas amb dades relatives a la varietat nord-occidental. Les formes que forneixen la part descriptiva corresponen a mostres de producció oral obtingudes en informants de 3 -4, 6- 7 i 11- 12 anys, la qual cosa signi ca una descripció morfològica del període de desenvolupament lingüístic del nen. Pel que fa a la interpretació dels resultats es proposa una perspectiva d'anàlisi que inclou tant les consideracions que tenen a veure amb aspectes interns del llenguatge com amb els de caràcter extern.