Many policy decisions take input from collections of scientific models. Such face significant and often poorly understood uncertainty. We rework the so-called confidence approach to tackle decision-making under severe uncertainty with multiple models, we illustrate a case study: insurance pricing using hurricane The has important consequences for this offers powerful framework wide class proble...

Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. This article suggests bootstrapping method for ranking measures of technical efficiency as calculated via non-radial mod...

introduction: due to irregular growth and expansion of cities, especially in developing countries, various issues and difficulties have arisen in different economic, social and ecological fields and various measurements and approaches in order to supply desirable conditions for today and future generations. healthy city approach is one these approaches as today it’s a new mechanism proposed by ...

I address questions about values in model-making in engineering, specifically: Might the role of values be attributable solely to interests involved in specifying and using the model? Selected examples illustrate the surprisingly wide variety of things one must take into account in the model-making itself. The notions of system (as used in engineering thermodynamics), and physically similar sys...