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2569. Resolving Ambiguous Preference Information in Group Decision-Making: A Novel Optimization Model for Consensus-Reaching
Invited abstract in session TA-44: Robustness analysis in MCDA 2, stream Multiple Criteria Decision Analysis.
Tuesday, 8:30-10:00Room: 20 (building: 324)
Authors (first author is the speaker)
| 1. | Jutta Geldermann
|
| Chair of Business Administration and Production Management, University of Duisburg-Essen | |
| 2. | River Huang
|
| Laboratory for Energy Systems Analysis (LEA), Paul Scherrer Institute | |
| 3. | Erik Pohl
|
| Business Administration and Production Management, Universität Duisburg-Essen | |
| 4. | Cathy Macharis
|
| BUTO-Mobilise, Vrije Universiteit Brussel | |
| 5. | Sebastian Schär
|
| Environmental Social Sciences (ESS), Eawag: Swiss Federal Institute of Aquatic Science and Technology |
Abstract
Within many multi-attribute decision-making (MADM) methods, inter-criterial preferences of the decision-makers (DMs) are expressed via criteria weights. Due to its convenience and simplicity, the revised method of Simos is widely applied to elicit criteria weights interactively with the DMs. Especially in group decision-making situations it provides procedural ease and offers a means to engage the dialogue with and in between DMs.
In Simos’ method, each DM orders a set of criteria cards according to their relative importance to derive criteria weights. However, this can lead to ambiguous preference mappings and thus ambiguous criteria weight vectors. Therefore, the robust extension of Simos' method determines all possible weight vectors from an ordered set of criteria cards via linear programming, where the set of feasible solutions forms a hyper-polyhedron. Although the concerns about robustness are expressed in the scientific literature on Simos' method, there is currently no methodological approach to process this information for consensus-reaching in decision problems with multiple DMs.
We present an optimization model that determines a consensual alternative by utilizing the ambiguity of Simos’ method. The model is based on the preference ranking organization method for enrichment evaluation (PROMETHEE) and demonstrated at hand of a case study for the assessment of seawater desalination plant concepts in Jordan.
Keywords
- OR in Environment and Climate change
- Decision Analysis
Status: accepted
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