For the planning of large infrastructure projects, such as tunnelled inner-city carriageways, completely different scales have to be considered – ranging from the scale of several kilometres for the general routing of the carriageway down to centimetre scale for the detailed planning of track nodes. However, today’s planning software hardly supports multi-scale approaches. The paper presents a ...

Prices applied to internal transactions between the business segments or divisions of a company in related entities within group (transfer pricing) can have significant impact on company’s competitive advantage. Transfer pricing policy influences profits operating segments, resource allocation and need for segment reporting. The two main approaches transfer are tax managerial approaches. aim th...

The option-pricing problem is always an important part in modern finance. Assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. In this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. Some option pricing formulas on...

In this report we review a number of pricing concepts: at pricing, priority pricing, ParisMetro pricing, smart-market pricing, responsive pricing, expected capacity pricing, edge pricing and e ective bandwidth pricing. We provide a description of each method and the underlying assumptions. We outline advantages and disadvantages as seen by their authors. We hope that this collection provides th...

Entropy and compression have been used to distinguish fetuses at risk of hypoxia from their healthy counterparts through the analysis of Fetal Heart Rate (FHR). Low correlation that was observed between these two approaches suggests that they capture different complexity features. This study aims at characterizing the complexity of FHR features captured by entropy and compression, using as refe...

In this paper we consider the modern theory of the Bayesian brain from cognitive neurosciences in the light of recommender systems and expose potentials for our community. In particular, we elaborate on noisy user feedback and the thus resulting multicomponent user models, which have indeed a biological origin. In real user experiments we observe the impact of both factors directly in a repeate...

a r t i c l e i n f o Keywords: Retail pricing decision model Demand forecasting Market share models Category management Competitive structure Store-level scanner data This study addresses the use of demand forecasting techniques by retailers to support their decision making. Specifically, the authors propose a pricing decision support model for retailers to estimate optimal prices, whose outpu...