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The approach involves the usage of Multi-Criteria Decision Analyses, including Weighted Sum Model (WSM), Weighted Product Model (WPM) and Topsis to produce ranking of decisions on incomplete structured datasets. Subsequently, Multi-variate Regression, Deep Neural Network (DNN) and a Multi-layer Perceptron (MLP) are trained to predict such rankings.
EOS is a set of functions (intended to be a package) that encompases everything within a centralized Earth Observation Satellite scheduling system in terms of Scenario generation, problem setup, solution approach, decision maker preference integration.
Multi-Criteria Decision solving techniques Algorithms to solve complex decision-making problems influenced by multiple criteria. We will discuss why we need such techniques and explore available algorithms in the cool skcriteria python package
A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.