Results 291 to 300 of about 2,307,276 (317)

Deep preference learning for multiple criteria decision analysis

European Journal of Operational Research, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Krzysztof Martyn, Miłosz Kadziński
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Multiple Criteria Decision Analysis Software

2016
We provide an updated overview of the state of multiple criteria decision support software. Many methods and approaches have been proposed in the literature to handle multiple criteria decision analysis, and there is an abundance of software that implements or supports many of these approaches.
H. Roland Weistroffer, Yan Li
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Multiple Criteria Decision Analysis

2014
A probabilistic approach to multicriteria decision problems can take in due account the uncertainty that is inevitably present in preference evaluations. Translating the preference measurements according to different criteria into probabilities of being chosen as the best alternative has two advantages. First, it makes comparable preference evaluations
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Heterogeneous Multiple Criteria Group Decision Analysis

2016
The purpose of this chapter is to develop the deviation modeling method to deal with the heterogeneous MCGDM problems with incomplete weight information in which the decision information is expressed as real numbers, interval numbers, linguistic variables, IFNs, HFEs and HFLTSs.
Xiaolu Zhang, Zeshui Xu
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USING MULTIPLE CRITERIA DECISION ANALYSIS FOR SUPPORTING DECISIONS OF SOLID WASTE MANAGEMENT

Journal of Environmental Science and Health, Part A, 2002
Design of solid-waste management systems requires consideration of multiple alternative solutions and evaluation criteria because the systems can have complex and conflicting impacts on different stakeholders. Multiple criteria decision analysis (MCDA) has been found to be a fruitful approach to solve this design problem.
Steven, Cheng, Christine W, Chan, Guo H, Huang   +2 more
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Problem Structuring and Multiple Criteria Decision Analysis

2010
This chapter addresses two complementary themes in relation to problem structuring and MCDA. The first and primary theme highlights the nature and importance of problem structuring for MCDA and then reviews suggested ways for how this process may be approached. The integrated use of problem structuring methods (PSMs) and MCDA is one such approach; this
Valerie Belton, Theodor Stewart
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Multiple Criteria Decision Analysis

2001
The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria decision aid, or multiple criteria decision making (MCDM) - has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. Multiple Criteria Decision Analysis: An Integrated Approach provides a
Belton, V., Stewart, T.J.
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Multiple Criteria Decision Analysis and Sustainable Development

2006
Sustainable development is a multidimensional concept, including socio-economic, ecological, technical and ethical perspectives. In making sustainability policies operational, basic questions to be answered are sustainability of what and whom? As a consequence, sustainability issues are characterised by a high degree of conflict.
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The application of correspondence analysis to multiple‐criteria decision making

Journal of Multi-Criteria Decision Analysis, 1992
AbstractThe aim of this paper is to show how correspondence analysis can be a useful aid in multiple‐criteria decision making, particularly in the case of categorical criteria values. Under different types of input information, the technique is used to perform some preliminary analyses with a bonus of providing a simultaneous graphical representation ...
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Automatic Classification and Analysis of Multiple-Criteria Decision Making

2019
As part of the automatic decision-making process, we propose to highlight the importance of business intelligence and its contribution to management and decision-making in companies. The multi-criteria automatic analysis proposes to set up a complete computer chain that automates all the classic steps of the multi-criteria decision-making.
Ahmed Derbel, Younes Boujelbene
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