A model of decision-making with sequential information-acquisition (part 1)
Decision Support Systems
A model of decision-making with sequential information-acquisition (part 2)
Decision Support Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
DDM: decision support system for hierarchical dynamic decision making
Decision Support Systems
Aggregation operators and fuzzy systems modeling
Fuzzy Sets and Systems
Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
Dynamic representation of decision-making
Mind as motion
Fuzzy Sets and Systems
Dynamic stochastic models for decision making under time constraints
Journal of Mathematical Psychology
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Aggregation with generalized mixture operators using weighting functions
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Dynamic multi-attribute decision making model with grey number evaluations
Expert Systems with Applications: An International Journal
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
An approach to group ranking decisions in a dynamic environment
Decision Support Systems
Full reinforcement operators in aggregation techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Appropriate choice of aggregation operators in fuzzy decision support systems
IEEE Transactions on Fuzzy Systems
Mathematical and Computer Modelling: An International Journal
Assessing the perception of information components in financial decision support systems
Decision Support Systems
A hybrid MCDM methodology for ERP selection problem with interacting criteria
Decision Support Systems
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The classic multiple-criteria decision making (MCDM) model assumes that, when taking a decision, the decision maker has defined a fixed set of criteria and is presented with a clear picture of all available alternatives. The task then reduces to computing the score of each alternative, thus producing a ranking, and choosing the one that maximizes this value. However, most real-world decisions take place in a dynamic environment, where the final decision is only taken at the end of some exploratory process. Exploration of the problem is often beneficial, in that it may unveil previously unconsidered alternatives or criteria, as well as render some of them unnecessary. In this paper we introduce a flexible framework for dynamic MCDM, based on the classic model, that can be applied to any dynamic decision process and which is illustrated by means of a small helicopter landing example. In addition, we outline a number of possible applications in very diverse fields, to highlight its versatility.