There are 2 repositories under decision-support topic.
GenericCDSS is a web-based application, which provides the main dashboard where professionals (e.g, practitioners, nurses) can follow all the patients that are under their responsibility and some details about the state of each one.
Python scripts for downloading and analyzing iran bourse (stock exchange) data. اسکریپت پایتون برای دانلود و تحلیل داده های بورس تهران.
Demand Response Analysis Framework (DRAF)
Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.
R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.
The decision support system uses the ahp method, made to fulfill the college assignments for the decision support system http://kevinmalikfajar.alwaysdata.net/sistempendukungkeputusan-ahp
Developing self learning robot
Pakcage perhitungan sistem pendukung keputusan metode Fuzzy AHP menggunakan PHP.
Better insights into collective climate actions
More than a billion of the rural merchants in the developing world commonly depend on hiring on-demand transportation services to commute people or goods to markets. The process of selecting the optimal fare involves handling decision-making characterised with multiple alternatives and competing criteria. Decision support systems are commonly used to solve these types of problems. However, most widely used systems are based on object-based approaches which lack high-level abstractions needed to effectively model and scale human-machine communication. This paper reviews previous literature on the field and introduces an improved preliminary agent-based decision-support approach to overcome those challenges. As a proof of concept, we developed a two-agent simulation that, given a request from one of the agents, the other one takes a dataset of a stratified sample of 104 Ethiopian commuter criteria preferences taken from the Dukem region and an exemplary dataset of fare alternatives. The assistant agent computes those datasets using widely used HPA and TOPSIS algorithms to weight, score, rank those alternatives. Once we run the simulation, in a matter of milliseconds the assistant agent effectively returns an optimal prescription to the other agent, storing all interactions in a self-contained memory resulting in an architecture that allows developers to program further customisation as interactions scale.
Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"
[UNDER DEVELOPMENT] R package implementing the DAEDALUS model for projecting and optimising health, social, and economic costs of a pandemic.
Python script that serves as a Control Flow Graph (CFG) generator.
Open source application that makes use of ruleLearn library to put into action it's core functionalities.
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.
Rapid prototyping framework for deploying and evaluating ML models on hardware
🌍 Mipa is the strategic coordination web app from collective-change.org, which aims to help the world achieve sustainablility by 2030.
[Not published - under active development] A Store of Outbreak Analytics Pipelines Provided as Rmarkdown Report Templates
This project aims to recommend effective deployment locations for police emergency response cars.
A web-based integrated machine learning framework for autism spectrum disorder prediction; written in Python.
Modular framework for building topic-specific advisors powered by large language models, using LangChain, LangGraph, and Pydantic.
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
An R package for implementing the Kraljic Matrix to strategically analyze a firm’s purchasing portfolio
MADS (Model Analysis & Decision Support) documentation
Backend source code to produce geospatial data layers for the MCSC's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE)
ImpactFlow is a Python Library for decision modeling based on causal decision models - in which levers and external factors of decisions feed into outcomes.
A collection of links to Streamlit apps and Medium posts for the SYSEN 5160 final projects.
Software will be for creating an online community for anonymous proposal and collaborative evaluation of public policy options, with decision support.