ANALYZING MULTI-ISSUE DECISION-MAKING USING CP-NETS: A REAL-LIFE APPLICATION
Keywords
Loading...
Authors
Issue Date
2023-07-18
Language
en
Document type
Journal Title
Journal ISSN
Volume Title
Publisher
Title
ISSN
Volume
Issue
Startpage
Endpage
DOI
Abstract
This thesis’ objective is to formalize Multi-Issue game dynamics in a real-world decision-making process and define the collective outcomes by using the theory of CP-nets, and explore the potential of CP-nets as a modeling tool. A real-world decision-making process showing Multi-Issue game dynamics is used to research the potential in modeling and analyzing complex decision-making scenarios that involve multiple issues and stakeholders and their individual conditional preferences. The results are gathered through qualitative research, consisting of interviews with the stakeholders involved in the real-life Multi-Issue game. The results of the study provide valuable insights into the advantages and limitations of the use of CP-nets in a real-life application. The results showed that stakeholders are able to construct CP-nets for themselves and identify their conditional preferences. It is showed that induced preference graphs and the aggregation rules were useful for analyzing the Multi-Issue game, resulting in optimal collective outcomes. While the limitations are recognized and stated, CP-nets offer decision makers a structured framework for analyzing complex decision processes. By finding the optimal collective outcome using CP-nets, the decision maker can make a more informed decision, leading to better results and potentially avoiding negative consequences.
Description
Citation
Supervisor
Faculty
Faculteit der Managementwetenschappen