topsis-algorithm

ML + multi-criteria decision framework for EV-battery end-of-life routing under EU, GBA, and India regulatory regimes. Live Streamlit demo with model weights hosted on the Hugging Face Hub.

⚡ Decision Support System (SPK) for Electric Vehicle selection using SAW and TOPSIS algorithms in Python and Streamlit.

Topsis, or Technique for Order of Preference by Similarity to Ideal Solution, is a multi-criteria decision-making method used to evaluate and rank potential options based on their distance to the ideal solution. In a Topsis project, the aim is to identify the best alternative by considering multiple criteria and their respective weights.

researching collaborator

Digital Twin Spectrum Recommender System Framework

N-ary TOPSIS for preference modelling.

Reproduction package for the DCRITIC–WASPAS–K-means transport safety model (Sci Rep 15:36467)

A two-stage framework for service placement problem in the cloud continuum that explicitly decouples behavioral specialization from high-level operational intent

This repository contains for TOPSIS application on a dataset and the package establishing on PyPI.

A Python application that scores GitHub repositories using TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) analysis.

RankIt is a customizable ranking system implemented in Python that uses the TOPSIS method to assign scores to a given set of items and rank them based on these scores.

This repository provides code for using Multicriteria Decision Making Techniques in Waste Management Options. Fuzzy AHP, TOPSIS and PROMETHEE II are used.

Digital Twin Spectrum Recommender System Framework