Cognitive Model of the Closed Environment of a Mobile Robot Based on Measurements

In recent years in mobile robotics, the focus has been on methods, in which the fusion of measurement data from various systems leads to models of the environment that are of a probabilistic type. The cognitive model of the environment is less accurate than the exact mathematical one, but it is unavoidable in the robot collaborative interaction with a human. The subject of the research proposed in this paper is the development of a model for learning and planning robot operations. The task of operations and mapping the unknown environment, similar to how humans do the same tasks in the same conditions has been explored. The learning process is based on a virtual dynamic model of a mobile robot, identical to a real mobile robot. The mobile robot’s motion with developed artificial neural networks and genetic algorithms is defined. The transfer method of obtained knowledge from simulated to a real system (Sim-To-Real; STR) is proposed. This method includes a training step, a simultaneous reasoning step, and an application step of trained and learned knowledge to control a real robot’s motion. Use of the basic cognitive elements language, a robot’s environment, and its correlation to that environment is described. Based on that description, a higher level of information about the mobile robot’s environment is obtained. The information is directly generated by the fusion of measurement data obtained from various systems.

Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case

In this work, we investigate a probabilistic method for electricity price forecasting, which overcomes traditional ones. We start considering statistical methods for point forecast, comparing their performance in terms of efficiency, accuracy, and reliability, and we then exploit Neural Networks approaches to derive a hybrid model for probabilistic type forecasting. We show that our solution reaches the highest standard both in terms of efficiency and precision by testing its output on German electricity prices data.

A New Hybrid Possibilistic-Probabilistic Decision-Making Scheme for Classification

Uncertainty is at the heart of decision-making processes in most real-world applications. Uncertainty can be broadly categorized into two types: aleatory and epistemic. Aleatory uncertainty describes the variability in the physical system where sensors provide information (hard) of a probabilistic type. Epistemic uncertainty appears when the information is incomplete or vague such as judgments or human expert appreciations in linguistic form. Linguistic information (soft) typically introduces a possibilistic type of uncertainty. This paper is concerned with the problem of classification where the available information, concerning the observed features, may be of a probabilistic nature for some features, and of a possibilistic nature for some others. In this configuration, most encountered studies transform one of the two information types into the other form, and then apply either classical Bayesian-based or possibilistic-based decision-making criteria. In this paper, a new hybrid decision-making scheme is proposed for classification when hard and soft information sources are present. A new Possibilistic Maximum Likelihood (PML) criterion is introduced to improve classification rates compared to a classical approach using only information from hard sources. The proposed PML allows to jointly exploit both probabilistic and possibilistic sources within the same probabilistic decision-making framework, without imposing to convert the possibilistic sources into probabilistic ones, and vice versa.

Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making

The concept of Pythagorean fuzzy sets (PFSs) was initially developed by Yager in 2013, which provides a novel way to model uncertainty and vagueness with high precision and accuracy compared to intuitionistic fuzzy sets (IFSs). The concept was concretely designed to represent uncertainty and vagueness in mathematical way and to furnish a formalized tool for tackling imprecision to real problems. In the present paper, we have used both probabilistic and nonprobabilistic types to calculate fuzzy entropy of PFSs. Firstly, a probabilistic-type entropy measure for PFSs is proposed and then axiomatic definitions and properties are established. Secondly, we utilize a nonprobabilistic-type with distances to construct new entropy measures for PFSs. Then a min–max operation to calculate entropy measures for PFSs is suggested. Some examples are also used to demonstrate suitability and reliability of the proposed methods, especially for choosing the best one/ones in structured linguistic variables. Furthermore, a new method based on the chosen entropies is presented for Pythagorean fuzzy multicriterion decision making to compute criteria weights with ranking of alternatives. A comparison analysis with the most recent and relevant Pythagorean fuzzy entropy is conducted to reveal the advantages of our developed methods. Finally, this method is applied for ranking China-Pakistan Economic Corridor (CPEC) projects. These examples with applications demonstrate practical effectiveness of the proposed entropy measures.

Impacto del proyecto “Con una botella podemos todos” en instituciones educativas bogotanas

RESUMENObjetivo: determinar el impacto, en los ámbitos psico- socio-ambiental, del proyecto Con una botella podemos todos, en dos instituciones educativas distritales de Bogotá. Materiales y Métodos: estudio cualitativo de carácter descriptivo, fenomenológico. La muestra de 126 participantes (108 estudiantes, 1 docente, 17 estudiantes de enfermería) se obtuvo por conveniencia, de tipo no probabilístico. Las variables del estudio se centran en la relacion existente entre lo que piensa, siente y hace la persona o grupo investigado cuando participa y se ve enfrentado en actividades y/o procesos para reciclar y su influencia en el campo ambiental. Para la recolección de la información se utilizó una encuesta de 15 ítems con preguntas abiertas, dirigida a los estudiantes participantes de las dos instituciones, una entrevista de 13 ítems para el docente y los estudiantes de enfermería (grupo focal). Resultados: el plástico es el material de mayor reducción. De 8 a 10 personas reducen el consumo en un 50 %; más del 90 % mostraron una motivación extrínseca que los impulsó a actuar y cuidar el planeta, el medio ambiente y la familia. El 76,85 % del grupo encuestado se sintieron tranquilos, felices y, orgullosos como ciudadanos conscientes. Conclusiones: con los procesos de reciclaje se logra una mejora en la participación colectiva o social, en el entendimiento del otro como persona y en la importancia de realizar acciones individuales con el fin de buscar un bien común.PALABRAS CLAVE: ecodesarrollo, medio ambiente, motivación, participación social.Impact of the project “With a bottle we all can” in educational institutions from BogotaABSTRACT Objective: to determine the impact of the project “With a bottle we all can”, in the psycho - social - environmental fields, in two public educational institutions in Bogota. Materials and Methods: qualitative study of descriptive, phenomenological character. The sample of 126 participants (108 students, 1 professor, and 17 nursing students) was obtained by convenience, of non-probabilistic type. The study variables are focused on the existing relation between what is thought, felt and done by the individual or group studied, when the individual or group participates and faces activities and/or processes to recycle and its influence in the environmental field. For the collection of information a survey of 15 items with open questions was used, directed to the participant students from the two institutions, one interview of 13 items to the professor and the nursing students (focus group). Results: plastic is the material with the most reduction. 8 to 10 individuals reduce the consumption by 50%; more than 90% showed extrinsic motivation that prompted the individual to take action and care for the planet, the environment and family. 76, 85% of the surveyed group felt relaxed, happy and, proud conscious citizens. Conclusions: with the recycling processes an improvement in the collective or social participation is achieved, with understanding of the other as a person and the importance of individual actions in order to achieve a common good.KEYWORDS: ecological development, environment, motivation , social participation. Impacto do projeto “Com uma garrafa todos podemos” em instituições educativas bogotanasRESUMOObjetivo: determinar o impacto, nos âmbitos psico-sócio-ambiental, do projeto “Com uma garrafa todos podemos”, em duas instituições educativas distritais de Bogotá D.C. Materiais e Métodos: estudo qualitativo de carácter descritivo, fenomenológico. A amostra de 126 participantes (108 estudantes, 1 docente e 17 estudantes de enfermagem) se obteve por conveniência, de tipo não probabilístico. As variáveis do estudo se centraram na relação existente entre o que pensa, sente e faz a pessoa ou turma pesquisada, quando participa e se vê enfrentado em atividades e/ou processos para reciclar e sua influência na área ambiental. Para a recolecção da informação se utilizou um inquérito de 15 itens com perguntas abertas, dirigida os estudantes participantes das duas instituições, uma entrevista de 13 itens ao docente e aos estudantes de enfermagem (grupo de foco). Resultados: o plástico é o material de maior redução. De 8 a 10 pessoas reduzem o consumo em um 50%; mais do 90 % mostraram uma motivação extrínseca que os impulsou a atuar e cuidar o planeta, o meio ambiente e a família. O 76,85% da turma pesquisada se sentiram tranquilos, felizes, orgulhosos como cidadãos conscientes. Conclusões: com os processos de reciclagem se consegue uma melhora na participação coletiva ou social, no entendimento do outro como pessoa e da importância de realizar ações individuais com o fim de buscar um bem-estar comum. PALAVRAS-CHAVE: desenvolvimento ecológico, meio ambiente, motivação, participação social.

A unified approach to infinite-dimensional integration

An approach to infinite-dimensional integration which unifies the case of oscillatory integrals and the case of probabilistic type integrals is presented. It provides a truly infinite-dimensional construction of integrals as linear functionals, as much as possible independent of the underlying topological and measure theoretical structure. Various applications are given, including, next to Feynman path integrals, Schrödinger and diffusion equations, as well as higher order hyperbolic and parabolic equations.

ASSESSMENT ON SUITABILITY OF NORMALIZING AND PROBABILITY TYPE BENTHIC INDICES FOR PREDICTION OF BEHAVIOR OF INLAND WATER BODY

Natural variability in diversity of benthic macro invertebrate fauna or benthos has become a valuable tool in assessing, modeling and monitoring of water quality of inland water body with respect to its portability and of pollution level. However, inappropriate use of these indices may leads to false interpretation or prediction of behavior of inland water body. In this study we have employed two normalizing (i.e Shannon-Wiener Index (H’), Pielou´s Evenness (J’)) and one probability type (HurlbertPIE Index(PIE)) indices to evaluate behavior of Baikona tank water body between Jan-2008 to Dec 2009.Sampling was carried out for period of 24 months at three different location and diversity of benthos for each location was tabulated. It is observed that monthly variation these indices show same trend during observation period. Coefficient of correlation among normalizing indices is observed lesser degree when compared to correlation between normalizing and probability type index. Degree of correlation is equitable when samples in all three sampling stations are mapped as single for each sampling period. It can be summarized that to model the tank behavior (i)both normalizing type and probabilistic type indices to be considered.(ii)all samples taken at a time at different locations are to be mapped as single sample.