Linear Programming and Genetic Algorithm Based Optimization for the Weighting Scheme of a Value Focused Thinking Hierarchy

Thawley, David M

ISBN 10: 102509591X / ISBN 13: 9781025095912

Published by Hutson Street Press, 2025

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Bibliographic Details

• Title: Linear Programming and Genetic Algorithm Based Optimization for the Weighting Scheme of a Value Focused Thinking Hierarchy
• Publisher: Hutson Street Press
• Publication Date: 2025
• Language: English
• ISBN 10: 102509591X
• ISBN 13: 9781025095912
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Deriving weights for a Value Focused Thinking (VFT) hierarchy demands considerable time and input from Decision Makers (DM) and Subject Matter Experts (SME). Often, the DMs and SMEs are the leaders of companies and organizations, and this required time is unrealistic with their schedules. In these situations, as well as scenarios where the are no available DMs / SMEs, conventional means of weighting a VFT hierarchy are impossible, and any VFT analysis is halted. When historical data exists on evaluation measures and performance of alternatives, linear programming and genetic algorithm based optimization may be used to derive historically optimal weights for a hierarchy. Analysis may then be done to determine the utility of transposing these weights into a hierarchy to evaluate a current list of alternatives. This type of analysis is also useful in "first cut" weighting of a hierarchy, and therefore reduces the time demands for DMs/SMEs to complete the weighting process. This methodology can provide insight into any situation where historical information exists on ordinally ranked, competing alternatives.

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