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When faced with a decision, most people like to know the odds and prefer to avoid ambiguity. It has been suggested that this aversion to ambiguity is linked to people's assumption of worst possible outcomes. We used two closely linked behavioural tasks in ...
Classification methods from machine learning are receiving a lot of attention in the transportation modelling community. This is motivated by the access to large databases, and to various success stories reported in this research community. Discrete choice ...
As India has developed into one of the countries of origin with the largest number of skilled personnel and international students, it has been increasingly considered as a priority country in public higher-education and labour-market strategies. Its growi ...
Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice ...
As the end of life becoming more and more complex recycling systems encountered many difficulties in valuing all the materials contain in each product. This involves not only recovering a large number of materials but also doing so with the minimal environ ...
Paul Scherrer Institute, World Resources Forum2019
Dynamic decision-making under uncertainty has a long and distinguished history in operations research. Due to the curse of dimensionality, solution schemes that naively partition or discretize the support of the random problem parameters are limited to sma ...
Research Summary Research on necessity entrepreneurship has generated important insights, yet it views necessity entrepreneurs in developed countries as one encompassing group of unemployed individuals-ignoring that the level of need is not uniform but ins ...
In standard analyses of Swiss energy and climate policies, the speed and extent of energy efficiency improvements (EEI) are usually assumed to be unaffected, even by policies designed to foster innovation. This project introduces endogenous EEI and barrier ...
Computational models can provide support in addressing challenges of urban planning. However, there exists a conflict between the required model inputs to reflect the decision problem, and the required insights into results for the decision maker to provid ...
We use homeostasis, the maintenance of steady states in an organism, to explain some of the decisions made by participants in a business process. We use Vickers’ Appreciative System to model the homeostatic states with Harel’s statecharts. We take the exam ...
