Multiple criteria decision making
, 1994 In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.
János Fodor, Marc Roubens
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Multiple-Criteria Decision-Making (MCDM) techniques to study the behavior of dendrimers using topological indices. [PDF]
PLoS One, 2023 Zuo X +4 more
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Management decision making by the analytic hierarchy process: A proposed modification for large-scale problems [PDF]
Frequently, management decision making problems involve multiple criteria/objectives/attributes. Over the years, many quantitative methods have been developed to facilitate making rational decisions involving multiple criteria.
Abdullah, Nur Anisah, Islam, Rafikul
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Multiple criteria decision analytic methods in management with T-spherical fuzzy information. [PDF]
Artif Intell Rev, 2023 Chen TY.
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A REVIEW OF APPLICATIONS OF MULTIPLE - CRITERIA DECISION-MAKING TECHNIQUES TO FISHERIES [PDF]
Management of public resources, such as fisheries, is a complex task. Society, in general, has a number of goals that it hopes to achieve from the use of public resources. These include conservation, economic, and social objectives.
Mardle, Simon, Pascoe, Sean
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On the Monte Carlo weights in multiple criteria decision analysis. [PDF]
PLoS One, 2022 Mazurek J, Strzałka D.
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Evaluation of a prescriptive ventilation standard with regard to 3 different performance indicators [PDF]
, 2009 In this paper, the performance of Belgian building code compliant residential ventilation systems is evaluated on multiple performance indicators: occupant exposure to bio-effluents, occupant exposure to other use-related pollutants (odours) and occupant
Janssens, Arnold, Laverge, Jelle
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Multiple Criteria Decision Analysis [PDF]
, 2016 In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications.
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Active Bayesian Optimization: Minimizing Minimizer Entropy [PDF]
, 2012 The ultimate goal of optimization is to find the minimizer of a target function.However, typical criteria for active optimization often ignore the uncertainty about the minimizer.
Nassar, Marcel +2 more
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Key Factors for Enhancing Home Care Workers' Intention to Stay by Multiple-Criteria Decision Analysis. [PDF]
Healthcare (Basel), 2023 Hsu W, Shih FP.
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