Patryk Żywica

Patryk Żywica
Adam Mickiewicz University | UAM · Faculty of Mathematics and Computer Science

Ph.D.

About

30
Publications
3,321
Reads
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309
Citations
Additional affiliations
October 2016 - present
Adam Mickiewicz University
Position
  • Professor (Assistant)
Education
September 2008 - October 2014
Adam Mickiewicz University
Field of study
  • Mathematics
September 2007 - June 2012
Adam Mickiewicz University
Field of study
  • Computer science

Publications

Publications (30)
Article
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-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by co...
Article
This paper presents an approach to making accurate and high-quality decisions under incomplete information. Our comprehensive approach includes interval modeling of incomplete data, uncertaintification of classical models and aggregation of incomplete results. We conducted a thorough evaluation of our approach using medical data for ovarian tumor d...
Chapter
Full-text available
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 where the problem of missing data is commonly encountered. We propose and evaluate an approach that makes it possible to reduce the influence of missing data on the final result and...
Chapter
In this paper we propose a new method for classifying uncertain data, modeled as interval-valued fuzzy sets. We develop the notion of an interval-valued prototype-based fuzzy classifier, with the idea of preserving full information including the uncertainty factor about data during the classification process. To this end, the classifier was based o...
Article
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 the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data which is an unique featur...
Article
Full-text available
Europe has unique natural values but also has the highest level of ecosystem fragmentation. Evaluating the effectiveness of protected area management is becoming an increasingly common practice. Our main goal was to assess the dynamics of LULC changes in the buffer zones of 159 national parks in 11 selected European countries on the basis of the CO...
Article
Full-text available
During the last five decades, manufacturing has radically changed not only due to the technology development but also because of the new market and environmental requirements. Nowadays, companies are focused not only on cost-reduction and effectiveness or realized processes but also on reducing the negative impact on natural and social environment....
Article
The epistemic uncertainty stems from the lack of knowledge and it can be reduced when the knowledge increases. Such interpretation works well with data represented as a set of possible states and therefore, multivalued similarity measures. Unfortunately, set-valued extensions of similarity measures are not computationally feasible even when the dat...
Article
Full-text available
Criticality is considered as a fundamental category of production planning, maintenance process planning and management. The criticality assessment of machines and devices can be a structured set of activities allowing to identify failures which have the greatest potential impact on the company's business goals. It can be also used to define mainte...
Article
Objectives — The study’s main aim was to evaluate the relationship between theperformance of predictive models for differential diagnoses of ovarian tumors and levels of diagnostic confidence in subjective assessment (SA) with ultrasound. The second aim was to identify the parameters that differentiate between malignant and benign tumors among tumo...
Article
Full-text available
In response to the growing sustainability concerns, manufacturing companies have to formulate measures to assess sustainable manufacturing performance, aiming at integration of sustainability aspects. Although various models and methods to assess the sustainability of production processes, and point the role of maintenance have been developed in re...
Chapter
In the paper we describe a computer system that store and process uncertain data in such a way as to be able to obtain information essential to make an effective diagnosis while also indicating the uncertainty level of that diagnosis. We consider the problem of incompleteness and imprecision of medical data and discuss some issues connected with su...
Chapter
This paper presents an approach to applying stochastic orderings to evaluate classification algorithms for low quality data. It discusses some known stochastic orderings along with practical notes about their application to classifier evaluation. Finally, a new approach based on fuzzy cost function is presented. The new method allows comparing any...
Article
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 the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data, which is a unique featur...
Chapter
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 machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all...
Article
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-valued fuzzy sets following the concept of uncertainty modelling given by Mendel's Wavy-Slice Representation Theorem. We expand on previous approaches by co...
Article
Objectives: The external, two-center validation of the IOTA ADNEX model for differential diagnosis of adnexal tumors. Methods: A total of 204 patients with adnexal masses (134 benign and 70 malignant) treated at the Division of Gynecologic Surgery, Poznan University of Medical Sciences, Poland (Center I), and 123 patients (89 benign and 34 maligna...
Chapter
In the paper we present experimental results on the problem of an effective decision making on incomplete data. In order to investigate this problem we examined a variety of interval aggregation methods. Exemplary results are based on a medical diagnosis support system. Our research shows that an application of the aggregation in this problem leads...
Chapter
This article describes the fundamentals of an intelligent decision support system for the diagnosis of ovarian tumors. The system is designed to support diagnosis by less experienced gynecologists, and to gather data for continuous improvement of the quality of diagnosis. The theoretical basis for the construction of the system is the IF-sets frame...
Article
Objectives The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the ri...
Chapter
Full-text available
In this paper we consider applications of bipolarity in modelling problems encountered in ovarian tumor diagnosis. We focus on imprecision of data obtained by a gynaecologist during examinations. We also present a wide range of predictive diagnostic models and propose a new idea for their improvement.
Chapter
Full-text available
An efficient and general method for calculating an exact value of relative cardinality of Atanassov's intuitionistic fuzzy sets (IFSs) is still an open problem. In this paper we make a step towards the solution of this problem by proposing an algorithm for computing relative cardinality of IFSs based on algebraic t-norm.

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Projects

Projects (2)
Project
A prototype of OvaExpert system is created as a research project. It aims to demonstrate the applicability of intelligent methods in the diagnosis and to establish cooperation with other research centers in the field of of tumor diagnostics. Project webpage: http://ovaexpert.pl/