The Multiple Criteria Models
Application of Multiple Criteria Decision Models for Oilseed Crops in Pakistan’s Punjab
... and Multiple Criteria Models The modelling starts by building single criterion basic linear programming models to analyse the planning problem from the point of view of the general perceptions ...
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Multiple criteria network models for project management
... single criteria model for critical path finding is shortly ...more criteria functions for this model are ...defined multiple criteria approach, these dependencies are not ...Each ...
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Dealing with inconsistent judgments in multiple criteria sorting models
... Sorting models consist in assigning alternatives evaluated on several criteria to ordered ...such models it is necessary to set the values of the preference parameters used in the ...
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Dealing with inconsistent judgments in multiple criteria sorting models.
... the multiple points of view from which alternatives under consideration should be evaluated, through the defini- tion of n crit criterion functions g 1 , g 2 , ...the criteria, the analyst conducting the ...
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Evaluation and decision models with multiple criteria: Case studies
... Chapters 8 to 14 address applications related with the energy/environment field, which is clearly in this book, as it is probably in practice, the most popular ap- plication area for MCDA. Problems concerning the ...
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Multiple-Criteria Approach to Optimisation of Multidimensional Data Models
... MCDM models are defined by determining the best-fit visualisation MDM for each specific user ...MCDM models instead of one large MCDM model, our method achieves a large degree of us- ability and flexibility ...
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Model Selection Criteria in Multivariate Models with Multiple Structural Changes
... selection criteria to select the regressors and the number of structural changes in multivariate regression models, including a VAR model as a special ...these criteria are determined not in ad hoc ...
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An extended of multiple criteria data envelopment analysis models for ratio data
... traditional models in the multiple form that is the weights corresponding to certain inputs and outputs are considered zero in the calculation of efficiency and this means that not all input and output ...
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On dynamic multiple criteria decision making models: a goal programming approach
... 6 Conclusions In this chapter we have introduced two different formulations based on the GP philosophy for solving dy- namic multi-criteria decision making problems. We have then presented an illustrative example ...
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On dynamic multiple criteria decision making models: A goal programming approach
... 6 Conclusions In this chapter we have introduced two different formulations based on the GP philosophy for solving dy- namic multi-criteria decision making problems. We have then presented an illustrative example ...
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Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models
... 2.1 Multiple Criteria Linear Programming (MCLP) Model MCLP model [11] is originally introduced for linearly separating two-group data ...the criteria functions and complete constraints for data ...
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Performance Evaluation of Prediction Models Under Multiple Criteria : An application on crude oil prices volatility forecasting models
... forecasting models. With the increasing number of models available to forecast the volatility of crude oil prices, despite the fact that the assessment of the relative performance of competing forecasting ...
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Performances Comparison of Information Criteria for Outlier Detection in Multiple Regression Models Having Multicollinearity
... Abstract Multiple linear regression models are widely used in applied statistical techniques and they are most useful devices for extracting and understanding the es- sential features of ...in ...
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Decision making in cloud environments: an approach based on multiple-criteria decision analysis and stochastic models
... Paulo Maciel received the degree in electronic engineering in 1987 and the M.Sc. and Ph.D. degrees in electronic engineering and computer science from the Federal University of Pernambuco, Recife, Brazil, respectively. ...
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Criteria Interactions in Multiple Criteria Decision Aiding: A Choquet Formulation for the TODIM Method
... between criteria in Multiple Criteria Decision Aiding (MCDA) has been approached by a number of ...among criteria. Aggregation models exist that have been conceived to take care of ...
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Parallel Regularized Multiple-criteria Linear Programming
... programming models to solve discriminant problems with a small sample size of data 12,13 ...classification models also can found in 14,15,16,17,18 ...via multiple criteria linear programming ...
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Multiple criteria approach for strategy adaptation in SME’s
... L. DÖMEOVÁ, M. HOUŠKA, M. BERÁNKOVÁ Czech University of Agriculture, Prague, Czech Republic Abstract: The formulation and adaptation of a firm strategy in small and medium enterprises depends on the management ...
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On confident outrankings with multiple criteria of uncertain significance
... simple models for tackling uncertain significance weights: uniform, triangular and beta ...uncertainty models the actual likeli- hood of any pairwise at least as good as ...
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Development, test and comparison of two Multiple Criteria Decision Analysis (MCDA) models: A case of healthcare infrastructure location
... these models directly influenced the board of direc- tors of this National Health Service (NHS) organisation to make an informed operational decision for the location of the £15 million health ...
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Evaluating predictive models of species distributions: criteria for selecting optimal models
... GARP models, which is typical of genetic algorithms, and complications in interpret- ing results based on asymmetrical (presence-only) input data make model selection ...optimal models can be identified ...
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