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

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

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.

SKU	Unavailable
ISBN 13	9781249595861
ISBN 10	124959586X
Title	Linear Programming and Genetic Algorithm Based Optimization for the Weighting Scheme of a Value Focused Thinking Hierarchy
Author	David M Thawley
Condition	Unavailable
Binding Type	Paperback
Publisher	Biblioscholar
Year published	2012-10-09
Number of pages	108
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.