Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III

ZS Chen, X Zhang, RM Rodríguez, W Pedrycz… - Automation in …, 2021 - Elsevier
The process of bid evaluation is subject to indetermination, imprecision, and uncertainty in
terms of their alternative-criterion decision appraisals. To address this issue, this paper …

Probabilistic linguistic information fusion: a survey on aggregation operators in terms of principles, definitions, classifications, applications, and challenges

X Mi, H Liao, X Wu, Z Xu - International Journal of Intelligent …, 2020 - Wiley Online Library
The probabilistic linguistic term set is a flexible and efficient tool to represent the cognitive
complex information of experts. It has attracted many scholars' attention since it was …

Outranking-based failure mode and effects analysis considering interactions between risk factors and its application to food cold chain management

H Liao, Z Hu, Z Zhang, M Tang, A Banaitis - Engineering Applications of …, 2023 - Elsevier
Failure mode and effects analysis (FMEA) is helpful to control potential risks of enterprises
by ranking failure modes based on their evaluation values regarding multiple risk factors …

Fuzzy ensemble of deep learning models using choquet fuzzy integral, coalition game and information theory for breast cancer histology classification

P Bhowal, S Sen, JD Velasquez, R Sarkar - Expert Systems with …, 2022 - Elsevier
Millions of women, worldwide, suffer from breast cancer and a large number of them
succumb to death. In recent years, computer-aided diagnosis (CAD) systems are being …

General interval-valued overlap functions and interval-valued overlap indices

T da Cruz Asmus, GP Dimuro, B Bedregal, JA Sanz… - Information …, 2020 - Elsevier
Overlap functions are aggregation functions that express the overlapping degree between
two values. They have been used both as a conjunction in several practical problems (eg …

Constructing multi-layer classifier ensembles using the Choquet integral based on overlap and quasi-overlap functions

T Batista, B Bedregal, R Moraes - Neurocomputing, 2022 - Elsevier
Ensembles of classifiers have been receiving much attention lately, they consist of a
collection of classifiers that process the same information and their output is combined in …

[HTML][HTML] Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions

I Rodriguez-Martinez, J Lafuente, RHN Santiago… - Neural Networks, 2022 - Elsevier
Abstract Traditionally, Convolutional Neural Networks make use of the maximum or
arithmetic mean in order to reduce the features extracted by convolutional layers in a …

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 …

Non-additive robust ordinal regression: A multicriteria decision model based on hierarchical-level-bidirectional choquet integral

H Song, Z Gong, G Wei, W Guo, X Ma… - Applied Soft …, 2023 - Elsevier
In contrast to the stable development of the traditional face to face teaching, distance
education has become a considerable portion in higher education today and it is still rapidly …

d-Choquet integrals: Choquet integrals based on dissimilarities

H Bustince, R Mesiar, J Fernández, M Galar… - Fuzzy Sets and …, 2021 - Elsevier
The paper introduces a new class of functions from [0, 1] n to [0, n] called d-Choquet
integrals. These functions are a generalization of the “standard” Choquet integral obtained …