This commentary considers the positive and negative consequences of early economic modelling and explores potential future directions. Early economic modelling offers device manufacturers an opportunity to assess the potential value of an innovation at an early stage of development. Early modelling can direct resources into potentially viable technologies and reduce inv...

In this paper, a new method for modelling and estimation of reliability parameters of power transformer components in distribution and transmission voltage levels for preventive-corrective maintenance schedule of transformers is proposed. In this method, with optimal estimation of Weibull distribution parameters using least squares method and input data uncertainty reduction, failure rate and p...

A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water management process and the role of uncertainty at different stages in the modelling processes. Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment and characterisation: data uncertainty ...

We present ongoing research concerning a communicationbased approach to information modelling. The general goal of our research is to understand and support (contextualized) modelling dialogues rather than the models that result from these dialogues or the modelling languages in which the models are expressed. We take the point of view that information modelling dialogues are subject to the sam...

Research & Development in Material Science Uncertainty Classification and Modelling Madan Jagtap* Department of Mechanical Engineering, Saraswati College India *Corresponding author: Jagtap, Kharghar, Navi Mumbai, Submission: August 11, 2022;Published: 24, 2022 DOI: 10.31031/RDMS.2022.17.000919 ISSN: 2576-8840 Volume 17 Issue 4

Because of random nature of many dependent variables in coastal engineering, treatment of effective parameters is generally associated with uncertainty. Numerical models are often used for dynamic analysis of complex structures, including mechanical systems. Furthermore, deterministic models are not sufficient for exact anticipation of structure’s dynamic response, but probabilistic models...

Web-based distributed modelling architectures are gaining increasing recognition as potentially useful tools to build holistic environmental models, combining individual components in complex workflows. However, existing web-based modelling frameworks currently offer no support for managing uncertainty. On the other hand, the rich array of modelling frameworks and simulation tools which support...

Geospatial predictive models often require mapping of predefined concepts or categories with various conditioning factors in a given space. This chapter discusses various aspects of uncertainty in predictive modeling by characterizing different typologies of classification uncertainty. It argues that understanding uncertainty semantics is a perquisite for efficient handling and management of pr...

Social responsibility is a key factor that could result in success and achieving great benefits for supply chains. Responsiveness and reliability are important social responsibility measures for consumers and all stakeholders that strategists and company managers should be concerned about them in long-term planning horizon. Although, presence of uncertainties as an intrinsic part of supply chai...

Acknowledgements I would like to thank my supervising committee and fellow students, both at the artificial intelligence-thesis group at the Open Universiteit, and my collegue-thesis students in 'room 142' in Utrecht, for their support, thoughtful critique and interest. I owe especially much to Schil de Vos and Mehdi Dastani. Schil, having supervised tens of students at the Open Universiteit, k...