This book constitutes the proceedings of the 14th European Conference on Modelling Foundations and Applications, ECMFA 2018, held as part of STAF 2018, in Toulouse, France, in June 2018. The 19 papers presented in this volume were carefully reviewed and selected from 45 submissions. The cover topics such as (bidirectional and unidirectional) model transformations, model management, re-engineering, modelling environments, verification and validation, and domain-specific modelling w.r.t. business processes, automotive software, and safety-critical software.

Results of measurements and conclusions derived from them constitute much of the technical information produced by the National Institute of Standards and Technology (NIST). In July 1992 the Director of NIST appointed an Ad Hoc Committee on Uncertainty Statements and charged it with recommending a policy on this important topic. The Committee concluded that the CIPM approach could be used to provide quantitative expression of measurement that would satisfy NIST¿s customers¿ requirements. NIST initially published a Technical Note on this issue in Jan. 1993. This 1994 edition addresses the most important questions raised by recipients concerning some of the points it addressed and some it did not. Illustrations.

Master's Thesis from the year 2015 in the subject Computer Science - Applied, grade: 2, University of Applied Sciences Coburg, language: English, abstract: The project shall contribute to the further development of a prototypical implementation for an assistance solution supporting measurement uncertainty analysis within the existing framework. The main tasks in this project will be: Familiarisation with the topic of measurement uncertainty analysis and the handling of software GUM Workbench®, definition of an design outline for the user support during measurement uncertainty analysis, including an analysis of required supporting function and the subsequent definition of a possible system structure, selection of one aspect in the process and development of a draft for an adequate support solution, containing elements to enable partial automation or increase of efficiency for the process step as well as explanatory information for the users, prototypical implementation and testing of the defined elements within the outlined framework. In the "Guide to the Expression of Uncertainty in Measurement" (GUM), jointly issued by ISO and BIPM, a standard procedure for the determination of measurement uncertainty is defined. Yet, although this document is supported by many international organisations and the consideration of measurement uncertainty is of high importance in many fields of application, ranging from industrial quality control to scientific research, still often the determination of measurement uncertainty is omitted. This is mainly due to difficulties of the metrologists to apply the general rules of the GUM to the task at hand. To ease this task and support the determination of measurement uncertainty, the software GUM Workbench® performs all required mathematical evaluations based on a model of the measurement. Additionally, a concept for an assistance system as well as a graphic modelling editor has been developed to facilitate the definition of a suitable model. But, the existing concepts are not yet fit for practical testing under industrial conditions.

The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. Numerous examples throughout help explain the book’s unique approach.

"This introduction to measurement uncertainty is intended for metrology professionals working in calibration laboratories and metrology institutes, as well as students in tertiary-level science and engineering programmes. The subject matter is presented with an emphasis on developing models of the physical measurement process. The level of mathematics and statistics used is basic and is typically covered by high school studies"--Distributor's website.

This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a

This monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence. With a new perspective on the metrology science, the text paves the way for innovative applications in a wide range of areas. Building on Simona Salicone’s Measurement Uncertainty: An Approach via the Mathematical Theory of Evidence, the material covers further developments of the Random Fuzzy Variable (RFV) approach to uncertainty and provides a more robust mathematical and metrological background to the combination of measurement results that leads to a more effective RFV combination method. While the first part of the book introduces measurement uncertainty, the Theory of Evidence, and fuzzy sets, the following parts bring together these concepts and derive an effective methodology for the evaluation and expression of measurement uncertainty. A supplementary downloadable program allows the readers to interact with the proposed approach by generating and combining RFVs through custom measurement functions. With numerous examples of applications, this book provides a comprehensive treatment of the RFV approach to uncertainty that is suitable for any graduate student or researcher with interests in the measurement field.

Based on The International Metrology Congress meeting, this reference examines the evolution of metrology, and its applications in industry, environment and safety, health and medicine, economy and quality, and new information and communication technologies; details the improvement of measurement procedures to guarantee the quality of products and processes; and discusses the development of metrology linked to innovating technologies. The themes of the Congress (quality and reliability of measurement, measurement uncertainties, calibration, verification, accreditation, sensory metrology, regulations and legal metrology) are developed either in a general way or applied to a specific economic sector or to a specific scientific field.