The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).
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Updated
Nov 21, 2024 - C#
The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).
Endikasyon ölçütüne göre antidepresan ilaçlarının verilen kriterlere göre topsis yöntemiyle sıralanması
(Research) Man Perfume Recommendation System using AHP & Topsis 🧔♂️
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.
Fuzzy TOPSIS is a multi-criteria decision-making method used to find the best alternative from a set of options, considering multiple criteria and their respective importance.
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images published in Nature Scientific Reports
Repository ini dibuat sebagai dokumentasi Ujian Akhir Semester Mata Kuliah Pemrograman Web 2
Valuation FCD TOPSIS Entropia
pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.
A Python library for creating TOPSIS rankings and visualizing the alternatives in WMSD for interpretation and designing improvement actions
By utilizing Flask, Python Face-recognition, Python Open-CV, Numpy, and other modules, we have developed a web-based application for face recognition and measuring the similarity between images A, B, C, and D
topsis package created which can be directly used through command line or terminal for ranking of information provided
Topsis for ranking pretrained models with text summarisation in specific and any pretrained model in general using parameters that affect them.
This package provides a command-line tool to rank a set of alternatives based on their performance against multiple criteria. Easily analyze your dataset and make informed decisions.
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