The resolution of complex decision situations in crisis and remediation management following a man-made or natural emergency usually requires input from different disciplines and fields of expertise. Contributing to transparency and traceability of decisions and taking subjective preferences into account, multi-criteria decision analysis (MCDA) is suitable to involve various stakeholder and exp...

Environmental modellers recurrently work with decisions where a portfolio of actions has to be formed to effectively address the overall situation at hand. When creating the portfolio, one needs to consider multiple objectives and constraints, identify promising action candidates and examine interactions among them. The area of portfolio decision analysis deals with such tasks. This paper revie...

Acceptance Sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. A number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. The acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...

Firms often have imperfect information about demand for their products. We develop an integrated econometric and theoretical framework to model firm demand assessment and subsequent pricing decisions with limited information. We introduce a panel data discrete choice model whose realistic assumptions about consumer behavior deliver partially identified preferences and thus generates ambiguity i...

Metamodels provide a mechanism for guidance in modelling. They offer a structured approach, which is appropriate for the modelling of situations and processes. An example of a metamodel is a modelling cycle, and one is proposed suitable for conflict processes in groups with critical size. The way in which such a modelling cycle can be implemented on a computer system for decision support is dis...

A novel hierarchical approach based on decision diagrams (DD) to modelling digital systems is introduced. Two new contributions are proposed: a new class of structurally synthesized binary DDs for modelling structural aspects of digital circuits, and DDs for high-level modelling of systems. Combination of both types of graphs allows to implement uniform formal approach to lowand high-level diag...

Contributing to transparency and traceability of decision making processes and taking into account the preferences of the decision makers, multi-criteria decision analysis (MCDA) is suitable to bring together knowledge from different disciplines and fields of expertise. The modelling of the decision makers’ preferences is a crucial part of any multi-criteria analysis. In multi-attribute value t...

A methodology is presented that combines modelling based on first principles and data based modelling into a modelling cycle that facilitates fast decision-making based on statistical methods. A strong feature of this methodology is that given a first principles model along with process data, the corresponding modelling cycle can be used to easily, rapidly and in a statistically sound way produ...

Requirements specification methods and techniques have hitherto mainly been concerned with promoting various representation formalisms for formally describing information systems. However the emphasis on system modelling is shifting to process modelling. Our concern is the modelling of the Requirements Engineering (RE) process. The particular RE process modelling approach presented in the paper...

Decision-making processes in medicine rely increasingly on modelling and simulation techniques; they are especially useful when combining evidence from multiple sources. Markov models are frequently used to synthesize the available evidence for such simulation studies, by describing disease and treatment progress, as well as associated factors such as the treatment's effects on a patient's life...