Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can leave them thinking that their judgements are not as coherent as they might have thought. This experience can be distressing and may even lead to rejection of the analysis. The psychology of preference sheds light both on how people naturally make choices without decision analytic assistance, and on how people think about the MCDA elicitation questions. As such, it can help the analyst to respond helpfully to difficulties which decision makers may face. In this paper, we review research from Behavioural Decision Theory relevant to MCDA. Our review follows the MCDA process, discussing research relevant to the structuring, value elicitation, a...
The objective of multiple criteria approaches is to help us to make better decisions, but what is th...
International audienceThis book showcases a large variety of multiple criteria decision applications...
Abstract: This paper describes a decision-maker (DM) centred approach to finding preferences in mult...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
Abstract Many multiple criteria decision analysis (MCDA) methods have been proposed over the last de...
Decision making is a complex task that involves a multitude of perspectives, constraints, and variab...
The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria de...
textabstractMULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive ...
Multiple Criteria Decision Aid (MCDA) aims at providing support to a decision maker (DM) involved in...
Recent studies on decision analytics frequently refer to the topic of behavioral decision making (BD...
It has been generally agreed that Multiple Criteria Decision Analyses (MCDA) can provide a very usef...
In this chapter we discuss the use of MCDA for supporting strategic decision making, particularly wi...
Multiple Criteria Decision Aid (MCDA) aims at providing support to a decision maker (DM) involved in...
This paper critically reviews practical difficulties inherent in some of the existing multi-criteria...
The objective of multiple criteria approaches is to help us to make better decisions, but what is th...
International audienceThis book showcases a large variety of multiple criteria decision applications...
Abstract: This paper describes a decision-maker (DM) centred approach to finding preferences in mult...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can...
Abstract Many multiple criteria decision analysis (MCDA) methods have been proposed over the last de...
Decision making is a complex task that involves a multitude of perspectives, constraints, and variab...
The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria de...
textabstractMULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive ...
Multiple Criteria Decision Aid (MCDA) aims at providing support to a decision maker (DM) involved in...
Recent studies on decision analytics frequently refer to the topic of behavioral decision making (BD...
It has been generally agreed that Multiple Criteria Decision Analyses (MCDA) can provide a very usef...
In this chapter we discuss the use of MCDA for supporting strategic decision making, particularly wi...
Multiple Criteria Decision Aid (MCDA) aims at providing support to a decision maker (DM) involved in...
This paper critically reviews practical difficulties inherent in some of the existing multi-criteria...
The objective of multiple criteria approaches is to help us to make better decisions, but what is th...
International audienceThis book showcases a large variety of multiple criteria decision applications...
Abstract: This paper describes a decision-maker (DM) centred approach to finding preferences in mult...