Authors: M. Eugenia Cornejo
Jesús Medina
Ivana Štajner-Papuga
Tepavčević, Andreja
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Lattice Valued Aggregation Operators Applicable in Digital Forensics
Series/Report no.: Studies in Computational Intelligence
First page: 101
Last page: 108
Related Publication(s): Computational Intelligence and Mathematics for Tackling Complex Problems 5
Editors: M.Eugenia Cornejo
László T. Kóczy
Jesús Medina
Eloísa Ramírez-Poussa
Issue Date: 2024
Rank: M33
ISBN: 978-3-031-46978-7
DOI: 10.1007/978-3-031-46979-4_14
The aim of this paper is to develop a framework based on lattice-valued aggregation operators that can enable ranking data in different problems of digital forensics. While the measure of the importance of each segment of the investigated data is predetermined by an expert, the measure of interaction of different segments is based on the appropriate choice of aggregation operators. This choice should adequately represent the opinions of experts, and express strengthening of interaction with an increase in the number of segments involved. The main contribution of the approach proposed in this paper is the development of specific generalized lattice-valued aggregation operators that can aggregate the measure of interaction that is adaptable to the guidelines indicated by the experts.
Publisher: Springer Link
Project: Partially supported by 2014–2020 ERDF Operational Programme in collaboration with the State Research Agency (AEI) in projects PID2019-108991GB-I00 and PID2022-137620NB-I00, and with the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia in project FEDER-UCA18-108612, by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia (Grant No. 451-03-47/2023-01/200125) and by the European Cooperation in Science & Technology (COST) Action CA17124.

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