This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
Abstract. In parametric Markov Decision Processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters. A PMDP denotes a family of ...
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Merging and integrating different conceptual models which have been developed by domain experts and analysts with dissimilar perspectives on the same issue has been the subject of...
Managing the inventories along with carrying out the production program is essential for many companies in the producing industry. In this paper, a fuzzy EPQ (Economic Production ...