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.
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 title | MUFs under Proper PUI Condition: Methods and Applications |
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Status | Active |
Effective start/end date | 1/1/22 → 12/31/24 |
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