The Dempster-Shafer Theory of Evidence (DST) has been considered as an alternative to probabilistic modelling if both a large amount of uncertainty and a conservative treatment of this uncertainty are necessary. Both requirements are normally met in early design stages. Expert estimates replace field data and hardly any accurate test results are available. Therefore, a conservative uncertainty ...

Due to uncertain nature of grade in ore deposits, considering uncertainty is inevitable in geological modelling of resources and mine planning. In other words, uncertainty in grade of mineralized materials, is one of the most significant parameters need attention in mine planning. In this paper, a comparative procedure utilizing Sequential Gaussian Simulation (SGS) and traditional Ordinary Krig...

Demands on the disaster response capacity of the European Union are likely to increase, as the impacts of disasters continue to grow both in size and frequency. This has resulted in intensive research on issues concerning spatially-explicit information and modelling and their multiple sources of uncertainty. Geospatial support is one of the forms of assistance frequently required by emergency r...

Choices made in the design phases of multiscale structures are guided by integration knowledge on parameters at different scales observation structure. These choices often based many experimental and predictive campaigns which increase modelling costs. The work developed here integrates consideration uncertainties order to rationalise cost (predictive experimental) while controlling uncertainty...

abstract obligatory modelling of precipitations in various periods, have a lot of problems and weakness because of their casual nature in time and space. moreover, their uncertainty in predictions, reduce credibility of estimations which have done via these models. wavelet is one of the novel and very effective methods in analyzing of time series and signals considered in the hydrology in recen...

In the context of open-pit mine planning, uncertainties including commodity price would significantly affect the technical and financial aspects of mining projects. A mine planning that takes place regardless of the uncertainty in price just develops an optimized plan at the starting time of the mining operation. Given the price change over the life of mine, which is quite certain, optimality o...

Business logic is one of the most important logics based on the decision matrix. However, using this logic alone and environmental uncertainty leads to problems such as low accuracy and integrity in strategic planning. In this work, we use an intelligent model based on the neural-fuzzy approach aiming at a desired decision-making and reducing the uncertainty in the strategic planning in mineral...

The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties. Set membership estimation combined with model error modelling technique is used where the approach is based on worst case scenario with unknown but...

A non-deterministic uncertainty and global sensitivity analysis, based on the Sobol’s method, is developed for a parabolic-trough direct steam generation plant for process heat applications. The objective of this work is to evaluate the robustness of the simulation-based design stage, identifying major modelling sources of uncertainty, as well as quantifying and ranking the relevance of its con...

1.1 In recent years more and more social scientists and in particular economists have been using simulation models. Without doubt numerical approaches—among them most outstanding agent-based approaches—offer a prolific way out of the tight corset which is determining modelling strategies so far for economists (e.g. Pyka and Fagiolo 2007). Accordingly, simulation techniques are applied almost en...