Next Article in Journal
A Rapid Method of Integrated Aeropropulsive Analysis for the Conceptual Design of Airbreathing Hypersonic Aircraft
Previous Article in Journal
Stealth Aircraft Penetration Trajectory Planning in 3D Complex Dynamic Environment Based on Sparse A* Algorithm
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Deciding Technosignature Search Strategies: Multi-Criteria Fuzzy Logic to Find Extraterrestrial Intelligence

by
Juan Miguel Sánchez-Lozano
1,*,
Eloy Peña-Asensio
2,3 and
Hector Socas-Navarro
4,5
1
Centro Universitario de la Defensa, Universidad Politécnica de Cartagena, C/ Coronel López Peña S/N, Base Aérea de San Javier, Santiago de La Ribera, 30720 Murcia, Murcia, Spain
2
Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
3
Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, C/ de Can Magrans S/N, 08193 Cerdanyola del Vallès, Catalonia, Spain
4
Instituto de Astrofísica de Canarias, Avda Vía Láctea S/N, 38205 La Laguna, Tenerife, Spain
5
Departamento de Astrofísica, Universidad de La Laguna, 38205 La Laguna, Tenerife, Spain
*
Author to whom correspondence should be addressed.
Aerospace 2024, 11(1), 88; https://doi.org/10.3390/aerospace11010088
Submission received: 15 December 2023 / Revised: 15 January 2024 / Accepted: 16 January 2024 / Published: 18 January 2024
(This article belongs to the Section Astronautics & Space Science)

Abstract

This study presents the implementation of Multi-Criteria Decision-Making (MCDM) methodologies, particularly the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), in prioritizing technosignatures (TSs) for the search for extraterrestrial intelligence (SETI). By incorporating expert opinions and weighted criteria based on the established Axes of Merit, our analysis offers insights into the relative importance of various TSs. Notably, radio and optical communications are emphasized, in contrast to dark side illumination and starshades in transit. We introduce a new axis, Scale Sensitivity, designed to assess the variability of TS metrics. A sensitivity analysis confirms the robustness of our approach. Our findings, especially the highlighted significance of artifacts orbiting Earth, the Moon, or the Sun, indicate a need to broaden evaluative criteria within SETI research. This suggests an enhancement of the Axes of Merit, with a focus on addressing the plausibility of TSs. As the quest to resolve the profound question of our solitude in the cosmos continues, SETI efforts would benefit from exploring innovative prioritization methodologies that effectively quantify TS search strategies.
Keywords: technosignatures; search for extraterrestrial intelligence (SETI); technique for order preference by similarity to ideal solution (TOPSIS); analytic hierarchy process (AHP); linguistic labels; alternatives; criteria technosignatures; search for extraterrestrial intelligence (SETI); technique for order preference by similarity to ideal solution (TOPSIS); analytic hierarchy process (AHP); linguistic labels; alternatives; criteria

Share and Cite

MDPI and ACS Style

Sánchez-Lozano, J.M.; Peña-Asensio, E.; Socas-Navarro, H. Deciding Technosignature Search Strategies: Multi-Criteria Fuzzy Logic to Find Extraterrestrial Intelligence. Aerospace 2024, 11, 88. https://doi.org/10.3390/aerospace11010088

AMA Style

Sánchez-Lozano JM, Peña-Asensio E, Socas-Navarro H. Deciding Technosignature Search Strategies: Multi-Criteria Fuzzy Logic to Find Extraterrestrial Intelligence. Aerospace. 2024; 11(1):88. https://doi.org/10.3390/aerospace11010088

Chicago/Turabian Style

Sánchez-Lozano, Juan Miguel, Eloy Peña-Asensio, and Hector Socas-Navarro. 2024. "Deciding Technosignature Search Strategies: Multi-Criteria Fuzzy Logic to Find Extraterrestrial Intelligence" Aerospace 11, no. 1: 88. https://doi.org/10.3390/aerospace11010088

APA Style

Sánchez-Lozano, J. M., Peña-Asensio, E., & Socas-Navarro, H. (2024). Deciding Technosignature Search Strategies: Multi-Criteria Fuzzy Logic to Find Extraterrestrial Intelligence. Aerospace, 11(1), 88. https://doi.org/10.3390/aerospace11010088

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop