ESROP – Osaka – Systems Optimization and Decision Making

This project will investigate new methods for improving decision-making tools that help organizations make better choices when faced with uncertainty. Specifically, we will study how to more accurately estimate weights in the Analytic Hierarchy Process (AHP), a common tool used for Multi-Criteria Decision Making (MCDM). By focusing on interval and fuzzy weight estimation, the project aims to create more reliable and efficient decision-support systems. The results will benefit participating institutions by providing better tools for complex decision-making, helping them prioritize actions and allocate resources more effectively in areas such as environmental management, policy planning, and other fields that require careful evaluation of multiple factors.

Faculty Supervisor:

Arthur Chan

Student:

Partner:

Osaka University

Discipline:

Mathematics

Sector:

Education

University:

University of Toronto

Program: