On the rationality of decision aiding processes

International audienc

Integrating Problem Structuring Methods And Concept-Knowledge Theory For An Advanced Policy Design: Lessons From A Case Study In Cyprus

Evidence suggests that policies frequently fail due, on the one side, to a simplification of the uncertainty and complexity associated with stakeholders’ problem-understanding and, on the other side, due to the lack of methodologies for innovative generation of policy alternatives. This work describes a methodology based on the integration of Problem Structuring Methods and Concept-Knowledge Theory as a mean to transform ambiguity in problem-framing from a barrier to an enabling factor in collaborative settings. This methodology supports the generative design process for innovative and consensual policies. The methodology was implemented for a case of designing water management policy in the Republic of Cyprus

Reasons and Means to Model Preferences as Incomplete

Literature involving preferences of artificial agents or human beings often assume their preferences can be represented using a complete transitive binary relation. Much has been written however on different models of preferences. We review some of the reasons that have been put forward to justify more complex modeling, and review some of the techniques that have been proposed to obtain models of such preferences

What Is a Decision Problem? Designing Alternatives

International audienceThis paper presents a general framework for the design of alternatives in decision problems. The paper addresses both the issue of how to design alternatives within "known decision spaces" and on how to perform the same action within "partially known or unknown decision spaces". The paper aims at providing archetypes for the design of algorithms supporting the generation of alternatives

MCDA Aide Multicritère à la Décision

The Association of European Operational Research Societie