Model-based Decision Support Systems (DSSs) often use multi-criteria optimization for selecting Pareto-optimal solutions. Such a selection is based on the interactive specification of user preferences. This can be done by a specification of aspiration and reservation levels for criteria. Diverse Graphical User Interfaces (GUIs) can be used for specification of these levels, as well as for the interpretation of results. In the approach presented in this paper, the specified aspiration and reservation levels are used for the generation of component achievement functions for corresponding criteria, which reflect the degree of satisfaction with given values of criteria. This paper outlines the methodological background and modular structure of ...
Decision making often requires the analysis of large amount of data and complex relations. Computeri...
Multicriteria decision making (MCDM) includes powerful and sophisticated optimization methods to sol...
This research develops an algorithm for solving a class of multiple objective decision problems. The...
Model-based Decision Support Systems (DSS) often use multi-criteria optimization for selecting Paret...
Model based Decision Support Systems (DSS) often use multi-criteria optimization for selecting Paret...
Model-based Decision Support Systems (DSSs) often use multi-criteria optimization for selecting Pare...
review. Views or opinions expressed herein do not necessarily represent those of the Institute, its ...
Model based Decision Support Systems (DSS) often use multiple-criteria optimization for selecting Pa...
This paper provides an overview of the methodology of the multiple-criteria model analysis for decis...
A simple, eclectic approach for solving discrete alternative multiple criteria decision problems is ...
The paper describes a decision support system (DSS) for multiple criteria decision analysis (MCDA). ...
In this dissertation a man-machine interactive mathematical programming method based on the theory o...
AMS subject classification: 90C29.The paper proposes an interactive method solving the multiple crit...
Decision making is a complex task that involves a multitude of perspectives, constraints, and variab...
We consider Multi Criteria Decision Making (MCDM) as the conjunction of three components: search, pr...
Decision making often requires the analysis of large amount of data and complex relations. Computeri...
Multicriteria decision making (MCDM) includes powerful and sophisticated optimization methods to sol...
This research develops an algorithm for solving a class of multiple objective decision problems. The...
Model-based Decision Support Systems (DSS) often use multi-criteria optimization for selecting Paret...
Model based Decision Support Systems (DSS) often use multi-criteria optimization for selecting Paret...
Model-based Decision Support Systems (DSSs) often use multi-criteria optimization for selecting Pare...
review. Views or opinions expressed herein do not necessarily represent those of the Institute, its ...
Model based Decision Support Systems (DSS) often use multiple-criteria optimization for selecting Pa...
This paper provides an overview of the methodology of the multiple-criteria model analysis for decis...
A simple, eclectic approach for solving discrete alternative multiple criteria decision problems is ...
The paper describes a decision support system (DSS) for multiple criteria decision analysis (MCDA). ...
In this dissertation a man-machine interactive mathematical programming method based on the theory o...
AMS subject classification: 90C29.The paper proposes an interactive method solving the multiple crit...
Decision making is a complex task that involves a multitude of perspectives, constraints, and variab...
We consider Multi Criteria Decision Making (MCDM) as the conjunction of three components: search, pr...
Decision making often requires the analysis of large amount of data and complex relations. Computeri...
Multicriteria decision making (MCDM) includes powerful and sophisticated optimization methods to sol...
This research develops an algorithm for solving a class of multiple objective decision problems. The...