Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking

T Li, H Fan, J García, JM Corchado - Information Fusion, 2019 - Elsevier
Two fundamental approaches to information averaging are based on linear and logarithmic
combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing …

Ordered weighted averaging operators: a short review

O Csiszar - IEEE Systems, Man, and Cybernetics Magazine, 2021 - ieeexplore.ieee.org
Aggregation is the process of combining several numerical values into a single
representative one, a procedure called an aggregation function. Despite the simplicity of this …

Motor-imagery-based brain–computer interface using signal derivation and aggregation functions

J Fumanal-Idocin, YK Wang, CT Lin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Brain–computer interface (BCI) technologies are popular methods of communication
between the human brain and external devices. One of the most popular approaches to BCI …

Some novel distance and similarity measures for probabilistic dual hesitant fuzzy sets and their applications to MAGDM

B Ning, G Wei, Y Guo - International Journal of Machine Learning and …, 2022 - Springer
Probabilistic dual hesitant fuzzy set is a more powerful and important tool to express
uncertain information. As we all know, the distance and similarity measures are very useful …

An adaptive decision making method with copula Bayesian network for location selection

Y Pan, L Zhang, J Koh, Y Deng - Information Sciences, 2021 - Elsevier
A novel multi-criteria decision making approach based on an adaptive copula Bayesian
network (CBN) model is proposed to effectively handle complex dependence problems …

Strategies on admissible total orders over typical hesitant fuzzy implications applied to decision making problems

M Matzenauer, R Reiser, H Santos… - … journal of intelligent …, 2021 - Wiley Online Library
Abstract Multi Expert‐Multi Criteria Decision Making (ME‐MCDM) problems have been well
explored on hesitant fuzzy environments dealing with membership degrees as subsets …

Simulating intraurban land use dynamics under multiple scenarios based on fuzzy cellular automata: a case study of **zhou district, Dalian

J Yang, W Liu, Y Li, X Li, Q Ge - Complexity, 2018 - Wiley Online Library
The spatial evolution of land use in **zhou area was simulated using fuzzy cellular
automata to determine all factors influencing urban land use change. For this purpose, land …

Multidimensional fuzzy sets

A Lima, ES Palmeira, B Bedregal… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Problems can arise in decision making when a different number of evaluations for the
different criteria or alternatives may be available. This is the case, for instance, when for …

Multidimensional fuzzy sets: Negations and an algorithm for multi-attribute group decision making

L Santiago, B Bedregal - International Journal of Approximate Reasoning, 2024 - Elsevier
Multidimensional fuzzy sets (MFS) is a new extension of fuzzy sets on which the
membership values of an element in the universe of discourse are increasingly ordered …

Weak and directional monotonicity of functions on Riesz spaces to fuse uncertain data

M Sesma-Sara, R Mesiar, H Bustince - Fuzzy Sets and Systems, 2020 - Elsevier
In the theory of aggregation, there is a trend towards the relaxation of the axiom of
monotonicity and also towards the extension of the definition to other domains besides real …