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Multi-criteria optimization and decision-making in radiotherapy

European Journal of Operational Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastiaan Breedveld   +3 more
openaire   +2 more sources

Multi-Criteria Decision Making

2002
One aspect that most of the current research on evolutionary multiobjective optimization (EMO) often disregards is the fact that the solution of a multiobjective optimization problem (MOP) really involves three stages: measurement, search, and decision making.
Carlos A. Coello Coello   +2 more
openaire   +1 more source

Adapting and refining in multi-criteria decision-making

Journal of the Operational Research Society, 2010
This paper describes the implementation of a Structured Methodology for Direct-Interactive Structured-Criteria (DISC) Multi-Criteria Decision-Making (MCDM), an eight-stage nomological adjusting cycle of activities that shape the information used to make a decision, requiring it be accessible, differentiable, abstractable, understandable, verifiable ...
D. B. O'Brien, Cathal M. Brugha
openaire   +1 more source

Multi-Criteria Decision Making

2019
Multi-criteria decision making (MCDM) is a discipline that explicitly considers assessing alternatives in a decision problem with respect to multiple criteria. Those methods are frequently used to solve real-life decision problems that incorporate multiple, conflicting, and incommensurate criteria. Considering the chaotic, complex, and ambiguous nature
openaire   +1 more source

Multiclass Classification Based on Multi-criteria Decision-making

Journal of Classification, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hossein Baloochian, Hamid Reza Ghaffary
openaire   +2 more sources

Multi-Criteria Decision Making for Ranking Decision Making Units

International Journal of Productivity Management and Assessment Technologies, 2018
There is no doubt the Data Envelopment Analysis (DEA) is a powerful method for the efficiency evaluation of Decision Making Units (DMUs) with multiple inputs and outputs. Despite its usefulness, DEA has some notable limitations. A significant drawback with this approach is that inability to fully rank the DMUs.
openaire   +1 more source

Multi‐criteria decision making for e‐marketplace selection

Internet Research, 2004
The Internet offers companies many opportunities to implement new business models, called e(electronic)‐business in short, and to reinforce their competitiveness in the market. It is currently suggested that business‐to‐business commerce, which is one of the dominant segments in e‐business, is going to develop around e‐marketplaces.
openaire   +2 more sources

Intelligent forecasting in multi-criteria decision-making [PDF]

open access: possibleComputer Modeling and Intelligent Systems, 2020
Vladyslav Borysenko   +3 more
openaire   +1 more source

Targeting in Multi-Criteria Decision Making

Proceedings of the AAAI Conference on Artificial Intelligence
In this work, we introduce the notion of targeting for multi-criteria decision making. The problem involves selecting the best alternatives related to one particular alternative, called the target. We use an axiomatic approach to this problem by establishing properties that any targeting method should satisfy.
Nicolas Schwind   +3 more
openaire   +1 more source

Multi-criteria decision-making

2022
Claudia Labianca   +2 more
openaire   +1 more source

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