Lattice Valued Aggregation Operators Applicable in Digital Forensics

Abstract

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.