📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
Sistem Pengambil Keputusan (SPK) / DSS berbasis Web metode TOPSIS dengan Sub Kriteria dan Multi Login System - www.firstplato.com
Sistem Pengambil Keputusan (SPK) / DSS berbasis Web dengan PHP, framework CodeIgniter, metode TOPSIS dengan Sub Kriteria, multi Periode dan Multi Login System - www.firstplato.com
Sistem Pengambil Keputusan (SPK) / DSS berbasis Web dengan PHP, metode TOPSIS dengan Sub Kriteria dan Multi Login System - www.firstplato.com
This is a module based on AHP and Fuzzy TOPSIS in the offloading decision engine in a mobile computation offloading system
Sistem Pendukung Keputusan (SPK) Pemilihan Kamera dengan menggunakan metode Topsis (Technique For Others Reference by Similarity to Ideal Solution)
Implementation of TOPSIS multi-criteria decision analysis method
This repository provides code for using Multicriteria Decision Making Techniques in Waste Management Options. Fuzzy AHP, TOPSIS and PROMETHEE II are used.
N-ary TOPSIS for preference modelling.
Developed DSS application using TOPSIS Methodology to help visitor/store-goer on camera store X make choices for product that suitably on/for their specification/feature priorities; all at once, also applicable to analyze guest behavior or favorite features.
Geospatial + ML pipeline for identifying and ranking university campus rooftops for solar PV deployment — XGBoost energy prediction (R²=0.944) + AHP-TOPSIS multi-criteria ranking across 135 buildings at the University of Lagos.
website aplikasi untuk menentukan bidang minat mahasiswa tingkat akhir dengan menerapkan metode topsis sebagai metode pendukung keputusan
🌍 Evaluate waste management scenarios using a hybrid MCDM framework that combines Fuzzy AHP, TOPSIS, and PROMETHEE II for informed decision-making.
This repository contains for TOPSIS application on a dataset and the package establishing on PyPI.
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