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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.
Java framework for Evolutionary Computation and Decision Making (JECDM). It is a computational framework written in Java that primarily intends to facilitate research on preference-based evolutionary multi-objective optimization.
This repository contains Python implementations of various Multi-Criteria Decision Making (MCDM) methods. These techniques help in evaluating and ranking alternatives based on multiple criteria, often used in decision analysis and optimization problems.