We extend Dubois and Prade's possibilistic decision theory to multi-stage decision making. EEects of actions are described by possibility distributions; objectives are speciied either by a partition of the nal states between goal and non-goal states, or more generally by a qualitative utility function. Optimal policies are computed by an algorithm in the style of dynamic programming.

Increasing energy demand and the detrimental environmental impacts of fossil fuels have led to development renewable sources. Rapid growth for wood pellets over last decade has established as a potential source in globally competitive market. Integrated decision making including all stakeholders pellet supply chain (WPSC) is essential smooth transition commercially viable production. In this as...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

As a critical component of sustainable development, transportation system should be designed such that it has positive impact on the economic, environmental, and social sustainability served region. In response, this study introduces concept passenger dissatisfaction with additional walking waiting as an indicator uses while optimizing transit network for perfectives. Due to lack knowledge abou...

Analysis of inventory systems involving market-oriented pricing decisions has recently become an interesting topic in the field of inventory control. Price and marketing expenditure are considered as important elements when selling goods and enhancing revenues by manufacturers. The importance of accounting for uncertainty in such environments spurs an interest to develop appropriate decision ma...

We introduce the class of possibilistic nested logic programs. These possibilistic logic programs allow us to use nested expressions in the bodies and the heads of their rules. By considering a possibilistic nested logic program as a possibilistic theory, a construction of a possibilistic logic programing semantics based on answer sets for nested logic programs and the proof theory of possibili...

Many real world domains require the representation of a measure of uncertainty. The most common such representation is probability, and the combination of probability with logic programs has given rise to the field of Probabilistic Logic Programming (PLP), leading to languages such as the Independent Choice Logic, Logic Programs with Annotated Disjunctions (LPADs), Problog, PRISM and others. Th...

Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertainty. In this paper, we propose possibilistic description logics as an extension of description logics. We give semantics and syntax of possibilistic description logics. We then define two inference services in possibilistic description logics. Since possibilistic inference suffers from the drownin...