APOLLO: A Fuzzy Multi-criteria Group Decision-Making Tool in Support of Climate Policy

Authors

Álvaro Labella^1, , Konstantinos Koasidis^2, , Alexandros Nikas^{2, *,} , Apostolos Arsenopoulos², Haris Doukas^2,

¹Department of Computer Science, University of Jaén, Campus Las Lagunillas, Jaén, 23071, Spain

²School of Electrical and Computer Engineering, National Technical University of Athens, Athens, 157 80, Greece

^*Corresponding author. Email: anikas@epu.ntua.gr

DOI

10.2991/ijcis.d.200924.002How to use a DOI?

Keywords

Linguistic decision-making; Consensus; 2-tuple TOPSIS; APOLLO; Multi-criteria group decision-making; Austria; Climate policy

Abstract

Multi-criteria decision-making is a daily process in everyday life, in which different alternatives are evaluated over a set of conflicting criteria. Decision-making is becoming increasingly complex, and the apparition of uncertainty and vagueness is inevitable, especially when related to sustainability issues. To model such lack of information, decision makers often use linguistic information to express their opinions, closer to their way of thinking, giving place to linguistic decision-making. However, the participation of multiple experts usually involves disagreements within the group, leading to unreliable solutions. To assist in decision-making and reduce such complexities, A grouP decisiOn fuzzy TOoL in support of cLimate change pOlicy making (APOLLO), a fuzzy decision support system, is introduced to deal with such problems in climate change and policy. The tool implements a framework for group decision-making, using 2-tuple Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), coupled with a new consensus measuring model to increase robustness of selected solutions. The operation of the software tool is showcased in a real case carried out in Austria, where stakeholders were asked to assess the risks embedded in pathways for decarbonizing the country’s iron and steel sector. Results indicate that a coherent strategy addressing funding and competition issues is necessary, with experts displaying a consensus level of 85% in that these risks are the most threatening for the transition.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Álvaro Labella
AU  - Konstantinos Koasidis
AU  - Alexandros Nikas
AU  - Apostolos Arsenopoulos
AU  - Haris Doukas
PY  - 2020
DA  - 2020/10/01
TI  - APOLLO: A Fuzzy Multi-criteria Group Decision-Making Tool in Support of Climate Policy
JO  - International Journal of Computational Intelligence Systems
SP  - 1539
EP  - 1553
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200924.002
DO  - 10.2991/ijcis.d.200924.002
ID  - Labella2020
ER  -