Uncertainty data in interval-valued fuzzy set theory
B Pękala - Properties, Algorithms and Applications, Studies in …, 2019 - Springer
The series “Studies in Fuzziness and Soft Computing” contains publications on various
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …
Solving the problem of incomplete data in medical diagnosis via interval modeling
This paper presents an approach to making accurate and high-quality decisions under
incomplete information. Our comprehensive approach includes interval modeling of …
incomplete information. Our comprehensive approach includes interval modeling of …
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 …
New types of aggregation functions for interval-valued fuzzy setting and preservation of pos-B and nec-B-transitivity in decision making problems
U Bentkowska - Information Sciences, 2018 - Elsevier
In this contribution new types of aggregation functions for interval-valued fuzzy setting are
introduced. They are called necessary and possible aggregation functions, respectively. In …
introduced. They are called necessary and possible aggregation functions, respectively. In …
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 …
Modelling medical uncertainties with use of fuzzy sets and their extensions
P Żywica - … Processing and Management of Uncertainty in …, 2018 - Springer
This work presents an approach to deal with uncertainty in patient's medical record. After
giving a brief characterisation of possible sources of uncertainty in medical records, the …
giving a brief characterisation of possible sources of uncertainty in medical records, the …
Assessment of ductile iron casting process with the use of the DRSA method
The paper introduces a concept of assessment of a ductile iron casting process with use of
the rule-based approach, known as DRSA (dominance-based rough set approach). The …
the rule-based approach, known as DRSA (dominance-based rough set approach). The …
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 …
A bipolar view on medical diagnosis in ovaexpert system
In the paper we present OvaExpert-a unique tool for supporting gynecologists in the
diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of …
diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of …