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 …

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 …

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 Jinzhou district, Dalian

J Yang, W Liu, Y Li, X Li, Q Ge - Complexity, 2018 - Wiley Online Library
The spatial evolution of land use in Jinzhou 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 …

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 …

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 …