Intelligent medical decision support system based on imperfect information
K Dyczkowski - Studies in Computational Intelligence. Springer, Cham …, 2018 - Springer
This monograph is the result of scientific research conducted between 2012 and 2016 by an
interdisciplinary team of scientists from the Department of Imprecise Information Processing …
interdisciplinary team of scientists from the Department of Imprecise Information Processing …
Fuzzy and rough approach to the problem of missing data in fall detection system
Two new methods for mining incomplete data based on interval-valued fuzzy set theory and
rough set theory, particularly maximal consistent blocks were proposed, and their …
rough set theory, particularly maximal consistent blocks were proposed, and their …
Federated learning with uncertainty on the example of a medical data
K Dyczkowski, B Pękala, J Szkoła… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper describes a federated learning model capable to process imprecise and missing
data. Federation learning is a technique to solve the problem of data governance and …
data. Federation learning is a technique to solve the problem of data governance and …
Influence of new interval-valued pre-aggregation function on medical decision making
In this contribution the new concept of the operator in the interval-valued fuzzy sets, which is
a pre-aggregation function, and their application in medical diagnosis is presented. Taking …
a pre-aggregation function, and their application in medical diagnosis is presented. Taking …
Application of interval-valued aggregation to optimization problem of k− NN classifiers for missing values case
In this contribution we consider methods for improving the quality of classification by the k
nearest neighborhood classifiers in the case of large number of missing values. The …
nearest neighborhood classifiers in the case of large number of missing values. The …
An algorithmic study of relative cardinalities for interval-valued fuzzy sets
The main topic of this paper is the notion of relative cardinality for interval-valued fuzzy sets–
its definition, properties and computation. First we define relative cardinality for interval …
its definition, properties and computation. First we define relative cardinality for interval …
Sensor-based injury prediction in football using a new interval-valued fuzzy inference library
In many computer science and engineering applications, uncertainty is a common feature
that must be addressed. In this paper, our primary emphasis is on forecasting lower-body …
that must be addressed. In this paper, our primary emphasis is on forecasting lower-body …
[PDF][PDF] A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems
This study introduces an innovative interval-valued fuzzy inference system (IFIS) integrated
with federated learning (FL) to enhance posture detection, with a particular emphasis on fall …
with federated learning (FL) to enhance posture detection, with a particular emphasis on fall …
Improving medical decisions under incomplete data using interval–valued fuzzy aggregation
We state a problem concerning how to make an effective and proper decision in the
presence of data incompleteness. As an example we consider a medical diagnostic system …
presence of data incompleteness. As an example we consider a medical diagnostic system …
Development of a fuzzy-driven system for ovarian tumor diagnosis
In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We
give an overview of its features and main design assumptions. As a theoretical framework …
give an overview of its features and main design assumptions. As a theoretical framework …