This paper is concerned with the following question: How to choose among Multi-Criteria Decision Aid (MCDA) methods to solve dynamic decision making problems under uncertainty? To address this question, a methodology has been proposed, which is based on a characterization of the MCDA methods. The MCDA methods are characterized according to 1) sufficient conditions that allow their use to solve ...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

The broad range of applications of Multi-Criteria Decision Analysis (MCDA) to forest management has demonstrated its potential as an interdisciplinary methodological framework for decision-making. However, traditional MCDA methods have also shown to have some limitations in addressing the inherent complexity of forest resources management and planning problems. This is particularly true in sust...

Maps are often used as decision support tools in both, desktop geographic information systems (GIS) and mobile GIS environments. The decision support capabilities of current location-based services (LBS) are limited to navigation support and database querying with no analytic evaluation of the attractiveness of alternative destinations being offered. This chapter demonstrates how LBS can be ext...

Over the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multi-criteria decision aid (MCDA), an advanced field of operations research, provides financial decision makers (DMs) and analysts a wi...

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...

Bayesian Belief Nets (BBNs) have proven to be an extremely powerful technique for reasoning under uncertainty. We have used them in a range of real applications concerned with predicting properties of critical systems. In most of these applications we are interested in a single attribute of the system such as safety, reliability, or defect-density. Although such BBNs provide important support f...

DEXi is an educational Multi Criteria Decision Aid (MCDA) computer program aimed at interactive development of qualitative multi-criteria and hierarchical decision models and the evaluation of options. The Decision Desktop software, or d2 for short, is one of the software modules being developed in the Decision Deck project. It is a desktop, client/server application which has integrated severa...

Public sector procurement should be a transparent and fair process. Strict legal requirements are enforced on public sector procurement to make it a standardised process. To make fair decisions on selecting suppliers, a practical method which adheres to legal requirements is important. The research that is the base for this paper aimed at identifying a suitable Multi-Criteria Decision Analysis ...

The choice among alternative water supply sources is generally based on the fundamental objective of cost minimisation. There is, however, a need to consider sustainability, the environment and social implications in regional water resources planning, in addition to economics. In order to achieve this, multi-criteria decision analysis (MCDA) techniques can be used. There are a large number of M...