Paweł Kuraś

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• Doctor of Engineering
• Professor (Assistant) at Rzeszów University of Technology

The parameters of wastewater treatment plants in Poland must meet certain standards that regulate the quality of wastewater after the treatment process. The quantity and quality of incoming sewage depend on many factors, including weather conditions. Forecasting these parameters can ensure optimal operation of the treatment plant, which will reduce...

This paper presents REDUCE, a free online tool designed to support decision-making processes by addressing inconsistency in multiplicative pairwise comparison (PC) matrices, a key element of many multi-criteria decision-making (MCDM) methods, including the analytic hierarchy process (AHP). AHP relies on pairwise comparisons to assign weights to dec...

In the paper an example of an integrated Software-Defined Network (SDN) system with heterogeneous technological instances based on the Linux platform will be shown. For this purpose, two research testing stands with a POX controller and OVS (Open vSwitch) switches were used. In the first testing stand, the research based on the ICMP traffic was don...

One of the alternative ways to obtain low-cost energy is to use biogas generated by the digestion process from sewage sludge. This paper presents an analysis of the processes in four anaerobic digesters (AD) – A, B, C and D. The study analyzed the amount of biogas produced in each digester tank and compared them with each other. Using data sets con...

In the article, the problem of multi-criteria optimization of quality control mechanisms is analyzed. The presented method assumes the use of the NPGA genetic algorithm to simultaneously manage costs and the level of detecting non-conformities. The main assumption of the presented approach is to treat individual quality control procedures as vector...

This paper propose two new generalizations of the logistic function, each drawing on non-extensive thermodynamics, the q-logistic equation and the logistic equation of arbitrary order respectively. It demonstrate the impact of chaos theory by integrating it with logistics equations and reveal how minor parameter variations will change system behavi...

In the era of the burgeoning metaverse, integration of payment systems is becoming a key element to enable seamless and secure transactions in virtual environments. This paper focuses on an analysis of current payment solutions in the metaverse, as well as their challenges and future prospects. The first part of the paper discusses existing payment...

This paper investigates the obstacles and resolutions concerning the security of communicationin the Internet of Things (IoT). It commences with a discussion of the remarkable proliferationof internet-connected devices, ranging from personal computers to mobile devices, and now tothe era of IoT and IoE. The paper illuminates the impact of IoT on ne...

In the paper, the authors present the outcome of web scraping software allowing for the automated classification of threats and crisis events detection. In order to improve the safety and comfort of human life, an analysis was made to quickly detect threats using a modern information channel such as social media. For this purpose, social media serv...

The Best–Worst method (BWM) is one of the latest contributions to pairwise comparisons methods. As its name suggests, it is based on pairwise comparisons of all criteria (or possibly other objects, such as alternatives, sub-criteria, etc.) with respect to the best (most important) and the worst (least important) criterion. The main aim of this stud...

This paper introduces REDUCE, a Python module designed to minimize inconsistency in multiplicative pairwise comparisons (PC), a fundamental technique in Multi-Criteria Decision Making (MCDM). Pairwise comparisons are extensively used in various fields, including engineering science and numerical simulation methods, to compare different options base...

This paper presents a new approach to the problem, the so-called inconsistency reduction in comparison matrices. Pairwise comparison matrices are used primarily in multi-criteria decision-making methods such as AHP (Analytic Hierarchy Process), where the problem of ensuring consistency of assessment regarding many different parameters also arises i...

This paper provides a comparison of existing risk analysis methods used in information security systems audits. Specifically, it examines the strengths and weaknesses of the risk analysis process, including the use of structured questionnaires, quantitative risk analysis, internal control reviews, threat and vulnerability assessments, and other ris...

The aim of this paper is to present a new method for generating random pairwise comparison matrices with a given inconsistency ratio (CR) interval using inconsistency reduction algorithms. Pairwise comparison (PC) is a popular technique for multi-criteria decision-making, its purpose is to assign weights to the compared entities, thus ranking them...

The process of mainframe machines managing and administration requires not only specialized expert knowledge based on many years of experience but also on appropriate tools provided by a machine performance management system, e.g. the Resource Measurement Facility (RMF). The aim of this paper is to show some preliminary results of Z-RAYS system con...

The aim of the paper is to introduce REDUCE, a free online decision support tool for the reduction of inconsistency in multiplicative pairwise comparisons framework. Pairwise comparisons (PCs)constitute a popular technique for multiple-criteria decision-making, its purpose is to assign weights to compared entities, thus providing their ranking from...

Presentation of new free tool - REDUCE - available at: http://reduce.prz.edu.pl REDUCE is a free online decision support tool for the reduction of inconsistency in the multiplicative pairwise comparisons framework. Pairwise comparisons (PCs) constitute a popular technique for multiple-criteria decision making, its purpose is to assign weights to...

The aim of this paper is to compare selected iterative algorithms for inconsistency reduction in pairwise comparisons by Monte Carlo simulations. We perform simulations for pairwise comparison matrices of the order n = 4 and n = 8 with the initial inconsistency 0.10 < CR < 0.80 and entries drawn from Saaty’s fundamental scale. Subsequently, we eval...