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1202. SAPEVO-H² a Hybrid and Hierarchical Decision Support System for Multi-Criteria Analysis in Complex Environments
Invited abstract in session TA-45: Multiple-Criteria Decision Support, stream Decision Support Systems.
Tuesday, 8:30-10:00Room: 30 (building: 324)
Authors (first author is the speaker)
| 1. | Miguel Ângelo Lellis Moreira
|
| Production Engineering, Fluminense Federal University | |
| 2. | Teresa Pereira
|
| CIDEM, School of Engineering, Polytechnic Institute of Porto | |
| 3. | Marcos Santos
|
| Industrial Engineering, Fluminense Federal University | |
| 4. | Carlos Francisco Simoes Gomes
|
| Production Engineering, Fluminense Federal University |
Abstract
In the realm of decision-making within highly complex environments, evolving numerous variables, circumstances, scenarios, and multiple decision-makers with different perspectives and knowledge concerning a problematic situation, the study proposes extensive modelling for the SAPEVO multi-criteria family of methods. The new modelling, SAPEVO-H², exposes a novel hybrid and hierarchical approach, promoting multi-criteria analysis facing the evaluation of a hierarchical structure of variables assessed by distinct decision-makers, segmented according to their specific areas of responsibility. The model embodies an axiomatic enhancement, enabling a more versatile analysis that accommodates quantitative and qualitative data. A notable feature of SAPEVO-H² is its capacity for group evaluation, organizing stakeholders into levels and assigning variables based on their expertise and prior knowledge without attributing disproportionate influence to any single decision-maker. To support practical application, we present an online computational platform. This technological framework fosters integration among diverse decision-making groups through an asynchronous evaluation environment, enhancing transparency in the decision-making process. It reveals individual and collective preferences alongside the traceability of utility construction, elucidating the intricate relationships among variables, established preferences, and the connections between stakeholder perceptions.
Keywords
- Decision Support Systems
- Group Decision Making and Negotiation
- Practice of OR
Status: accepted
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