Buscar
Mostrando ítems 1-10 de 40
Application and comparison of CC-integrals in business group decision making
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Optimized decisions is required by businesses (analysts) if
they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ...
Exploring the relationships between data complexity and classification diversity in ensembles
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ...
CC-separation measure applied in business group decision making
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ...
Using academic genealogy for recommending supervisors
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Selecting an academic supervisor is a complicated task. Masters and Ph.D. candidates usually select the most prestigious universities in a given region, investigate the graduate programs in a research area of interest, and ...
Quantifying external information in social network analysis: an application to comparative mythology
(IEEE, 2023)
Artículo / Artikulua,
Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ...
On construction methods of (interval-valued) general grouping functions
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators ...
dCF-integrals: generalizing CF-integrals by means of restricted dissimilarity functions
(IEEE, 2022)
Artículo / Artikulua,
The Choquet integral (CI) is an averaging aggregation function that has been used, e.g., in the fuzzy reasoning method (FRM) of fuzzy rule-based classification systems (FRBCSs) and in multicriteria decision making in order ...
Application of the Sugeno integral in fuzzy rule-based classification
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ...
Explainable classification methods for fish species detection using hydroacoustic data
(IEEE, 2021)
info:eu-repo/semantics/conferenceObject,
This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ...
VCI-LSTM: Vector choquet integral-based long short-term memory
(IEEE, 2022)
Artículo / Artikulua,
Choquet integral is a widely used aggregation operator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data. However, there are many cases where the ...