Research Topic · Peer-Reviewed

Decision Trees

A decision tree is a visual representation of a set of possible outcomes and their associated decisions. It is used to help people make decisions in difficult or complex situations, or when faced with a large number of choices. By breaking down the decision-making process into a logical sequence of steps, decision t…

Curated from this journal's research 📚 4 peer-reviewed articles cited Cited 27× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

A decision tree is a visual representation of a set of possible outcomes and their associated decisions. It is used to help people make decisions in difficult or complex situations, or when faced with a large number of choices. By breaking down the decision-making process into a logical sequence of steps, decision trees can help individuals identify the best solutions and make informed decisions. The structure of a decision tree allows users to quickly assess various options, as well as the risks and rewards associated with each. Decision trees are often used in business and finance, as well as in areas like healthcare, education, and marketing. They are a valuable tool for analyzing data and making decisions, helping to maximize efficiency and reduce risk.

Research published in this journal

4 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 4 articles above have been cited 27 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Decision Trees, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.