Possibility theory offers a qualitative framework for modeling decision under uncertainty. In this setting, pessimistic and optimistic decision criteria have been formally justified. The computation by means of possibilistic logic inference of optimal decisions according to such criteria has been proposed. This paper presents an Answer Set Programming (ASP)-based methodology for modeling decisi...

Abstract—This paper discusses the intake of combining multicriteria decision analysis (MCDA) with OLAP systems, to generate an integrated analysis process dealing with complex multi-criteria decision-making situations. In this context, a multi-agent modeling is presented for decision support systems by combining multi-criteria decision analysis (MCDA) with OLAP systems. The proposed modeling wh...

in recent decades, as a result of population growth, industrial developments, scarcity of sources, etc. more attention has been paid to spatial planning. spatial planning needs the consideration of different goals, scenarios, criterions and constraints, which leads us to the usage of spatial multi-criteria decision analysis (mcda) methods. the mail goal of this research is to develop a novel mo...

the management and analysis of flood hazards is of great socio- economic and ecological importance as it was estimated that 50 percent of word’s population resides and works within the costal zone till 2030. the management of coastal flood hazard reflects the cumulative effects and criteria more than the human mind can handle effectively. the flood management requires decision making for rela...

DEX is a qualitative multi-attribute decision modeling methodology that integrates multi-criteria decision modeling with rule-based expert systems. The method was conceived in 1979. Since, it has been continuously developed and implemented in a wide range of computer programs that have been applied in hundreds of practical decision-making studies. Here we present its main methodological concept...

In Multiple Criteria Decision Analysis, the preferences of the decision maker regarding each criterion are classically modelled by a utility function depending on one single variable representing the point of view attached to the criteria. There are situations in which the preferences regarding an attribute depend on more variables. In this case, we propose an extended model taking into account...

Multi-Criteria Decision Making (MCDM) involves the selection of the best actions from a set of alternatives, each of which is evaluated against multiple, and often conflicting, criteria. Most of the existing MCDM methods only focus on decisions under certainty. The criteria were evaluated separately as if they were independent of each other. Complex, often uncertain interactions between criteri...