Multiattribute Utility Functions under Proper Partial Utility Independence Condition: Methods and Applications

Project: FDCRGP

Project Details

Grant Program

Faculty Development Competitive Research Grants Program 2022-2024

Project Description

Multiattribute utility theory is useful in solving complex decision problems.
Unlike a single-attribute economic model, a multiattribute utility function can capture the decision maker's preferences under uncertainty on various factors (e.g. profit, safety, environment). When the number of 'incommensurable' attributes (i.e. factors) increases, the decision-making becomes difficult.
This requires various Decision Support Systems and algorithms to help people make informed decisions.
In this project, we have two main goals: (i) develop novel algorithms for decision analysis, (ii) develop a multiattribute decision model for transportation and monitoring of critically ill patients in Kazakhstan.
All team members have good industry experience and complementary skills in decision analysis, risk analysis, medicine, transportation, logistics, and the computational methods needed to address the problems described in the proposal.
Short titleMUFs under Proper PUI Condition: Methods and Applications
StatusActive
Effective start/end date1/1/2212/31/24

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