Maximization of an Asymmetric Utility Function by the Least Squares


  • Kiyoshi Yoneda Fukuoka University
  • Antonio Carlos Moretti State University of Campinas



individual behavior, inverse problems, simultaneous equations, optimization


This note points out that a utility maximization procedure proposed in an earlier paper may be reduced to the least squares.The utility function is asymmetric in the sense that for each cue an ideal value and a permissible range are assigned in such a way that the ideal value is not necessarily at the center of the interval, like "a beer of 350 [ml] would be ideal, but acceptable if within [100, 500]". A practical consequence of the observation is that very little programming will be needed to deploy the utility maximization, since software for the least squares is widely available.


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Yoneda, K., Celaschi, W., 2013. A utility function to solve approximate linear equations for decision making. Decision Making in Manufacturing and Services. To be published. URL Celaschi.pdf




How to Cite

Yoneda, K., & Moretti, A. C. (2014). Maximization of an Asymmetric Utility Function by the Least Squares. Decision Making in Manufacturing and Services, 8(1-2), 5–12.