EURO 2024 Copenhagen
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3114. Addressing Challenges in Multicriteria Decision-Making: Introducing the Method and User-Friendly Software Called VIKOR-HS

Invited abstract in session TB-44: MCDA applications, stream Multiple Criteria Decision Analysis.

Tuesday, 10:30-12:00
Room: 20 (building: 324)

Authors (first author is the speaker)

1. Renata Pelissari
Engineering School, Mackenzie Presbyterian University
2. Rafaela Heloisa Carvalho Machado
Universidade Federal de Viçosa
3. Bernardo Reis
Universidade Federal de Minas Gerais
4. Artur Almeida Santos
Universidade Federal de Ouro Preto
5. Samuel Vieira Conceição
Universidade Federal de Minas Gerais

Abstract

Complex decision-making problems often have specific configurations such as the need to organize criteria hierarchically and the difficulty in setting importance weights to these criteria. These challenges have not been fully addressed yet when it comes to the multicriteria decision-making method VIKOR. Our first proposal is to introduce the VIKOR-HS method to bridge this gap. This method integrates a variant of the Multiple Criteria Hierarchy Process (MCHP) into VIKOR, facilitating consideration of multiple levels for decision criteria, and incorporates the Stochastic Multicriteria Acceptability Analysis (SMAA) for eliciting criteria weights across various hierarchy levels. Despite this contribution, a challenge that remains concerns the difficulty in applying such a method in real-life decision-making scenarios due to its demand for mathematical and programming knowledge that is often incompatible with that possessed by typical users. Our second contribution addresses this concern by proposing a user-friendly software tailored for implementing the VIKOR-HS method. To demonstrate the efficacy of the VIKOR-HS method and accompanying software, we applied it to assess the sustainability of different animal production alternatives in Brazil, a problem previously explored in the literature. Notably, the software facilitates robustness evaluation for each alternative while substantially reducing the complexity associated with employing a robust multicriteria approach.

Keywords

Status: accepted

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