Maximization of an Asymmetric Utility Function by the Least Squares

Journal Title: Decision Making in Manufacturing and Services - Year 2014, Vol 8, Issue 1

Abstract

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.

Authors and Affiliations

Kiyoshi Yoneda, Antonio Moretti

Keywords

Related Articles

Separating I/O from Application Logic for Rule-Based Control Systems

One of the main reasons of using a rule-based approach to program control systems is that they can be formally verified. For such systems communication with the environment is often encoded within the knowledge base. Suc...

The Art and Science of Modeling Decision-Making Under Severe Uncertainty

For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in su...

Game-Theoretic Approach to Bank Loan Repayment

The paper presents a model of a bank loan repayment as a signaling game with a set of discrete types of borrowers. The type of the borrower is the return on investment project. A possibility of renegotiation of the loan...

An Attribute Based Similarity Function for VRP Decision Support

When solving problems in the real world using optimization tools, the model solved by the tools is often only an approximation of the underlying, real, problem. In these circumstances, a decision maker (DM) should consid...

Corrigendum to ”Extended Model Formulation of the Proportional Lot-Sizing and Scheduling Problem with Lost Demand Costs”

Amendment to Decision Making in Manufacturing and Services, vol. 5 (1–2), 2011, pp. 49–56

Download PDF file
  • EP ID EP165613
  • DOI 10.7494/dmms.2014.8.1.5
  • Views 120
  • Downloads 0

How To Cite

Kiyoshi Yoneda, Antonio Moretti (2014). Maximization of an Asymmetric Utility Function by the Least Squares. Decision Making in Manufacturing and Services, 8(1), 5-12. https://europub.co.uk/articles/-A-165613