Utility optimization when the utility function is virtually unknown

In this paper a surrogate to traditional utility optimization is presented. This approach is based on multiple criteria decision making techniques through a theorem which connects utility function optimization with compromise programming. Apart from common assumptions in the literature the only specific assumption underlying the approach seems realistic, and is markedly related to traditional analysis.