Please use this identifier to cite or link to this item:

Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment

File Size Format  
0180.pdf 586.38 kB Adobe PDF View/Open

Item Summary

Title:Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment
Authors:Lenz, Annika
Schoop, Mareike
Keywords:Multi-criteria Decision Analysis and Support Systems
Decision Analytics, Mobile Services, and Service Science
dynamic preference adjustment, multi-criteria decision analysis, preference measurement
Date Issued:08 Jan 2019
Abstract:Multi-criteria decision analysis is required in various domains where decision making reoccurs as part of a longer-term process. When the decision context changes or the preferences evolve due to process dynamics, one-shot preference measurement is not sufficient to build an adequate basis for decision making. Process dynamics require taking into account the dimension of time. We investigate six interactive preference measurement methods providing the possibility to assess alternatives in terms of utility for an individual decision maker, whether they are suitable for dynamic preference adjustment. We use a mixed-methods approach to analyse them towards 1) requirements for a dynamic method, and 2) their efficiency, validity, and complexity. Our results show that the best method to be further developed for dynamic context is Adaptive Self-Explication slightly preferable over Pre-Sorted Self-Explication. Our assessment implicates that an extension of the Adaptive Self-Explication will enable efficient dynamic decision support.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Multi-criteria Decision Analysis and Support Systems

Please email if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons