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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.
Prescriptive Analytics Case. A simple implementation of AHP and TOPSIS in python to help a human selecting a phone within an array of 10k celphone options based on a given budget.
A reproducible AHP (Analytic Hierarchy Process) model ranking favorites for the FIFA World Cup 2026. Criteria and consistency checks are built in Excel; a minimal Python script reads the Results sheet, exports a sorted CSV, and generates a horizontal bar chart with in-bar percentage labels.
Implementation of the Analytic Hierarchy Process (AHP) to obtain the immunogenicity score of wheat lines based on their celiac disease (CD) epitopes matches on alpha- and gamma-gliadins amplicons by NGS and the score for oligopeptides based on an IFN-g ELISpot assays with fresh peripherical blood mononuclear cells (PBMCs).
Efficient Government Strategies: Research findings on revolution, legal aspects, and societal satisfaction, supported by literature analysis and a Python-powered survey approach. Explore results and documentation in the attached files.
This repository provides code for using Multicriteria Decision Making Techniques in Waste Management Options. Fuzzy AHP, TOPSIS and PROMETHEE II are used.
This is a Streamlit application that allows users to evaluate the implementation, effectiveness, and accessibility of digital channels and helpline services to help children be safe in their country.