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1

Zastosowanie logiki rozmytej w analizie warunków pogodowych

Małolepsza Olga, Prokopowicz Piotr, Mikołajewski Dariusz

Studia i Materiały Informatyki Stosowanej

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2025

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T. 17, nr 1

5--13

PL

Tematem artykułu jest wykorzystanie logiki rozmytej w procesie rozpoznawania i analizy warunków pogodowych. System rozmyty, który wykorzystano do rozpoznawania pogody, został stworzony przy użyciu Matlaba, w aplikacji Fuzzy Logic Designer, skupiając się naintegracji logiki rozmytej i technik sztucznej inteligencji (AI), pokazując możliwości oferowane przez systemy AI w zarządzaniu niepewnością. Model rozpoznawania pogody wykorzystuje trzy zmienne wejściowe w postaci maksymalnej temperatury, minimalnej temperatury i wiatru, a także 35 reguł, które generują prognozę pogody, a mianowicie opady, które mogą być bardzo niskie, niskie,normalne, wysokie i bardzo wysokie.

EN

The topic of this paper is the use of fuzzy logic in the recognition and analysis of weather conditions. The fuzzy system used for weather recognition was created using Matlab, in the Fuzzy Logic Designer application, focusing on the integration of fuzzy logic and artificial intelligence (AI) techniques, demonstrating the possibilities offered by AI systems in managing uncertainty. The weather recognition model uses three input variables in the form of maximum temperature, minimum temperature and wind, as well as 35 rules that generate a weather forecast, namely precipitation, which can be very low, low, normal, high and very high.

2

Modelling and Forecasting Enterprise Transformationin a Digitalising Economy

Buleev Ivan, Bryukhovetskaya Natalya, Korytko Tetyana, Bryl Iryna, Prykhodko Oleksandra

Management and Production Engineering Review

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2025

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Vol. 16, No. 3

[nr art. 5], s. 1--13

EN

Today, the development of a scientific and methodological approach to modelling the impact of digital transformation on enterprise management is highly relevant. This approach should be based on the rules of fuzzy logic and be adaptable to environmental changes. Consequently, the purpose of this study is to develop an optimal tool for modelling the decision-making process in enterprise management under the influence of digital transformation. The study’s outcome is a model for presenting fuzzy knowledge, demonstrated through examples of models designed to assess the impact of digital transformation on enterprise management, based on input from expert assessments. The developed model interprets the scored expert points for a loosely structured or unstructured task, thereby revealing the subjectivity of experts and providing a quantitative assessment for non-formalised tasks.

3

Neutrosophic VIKOR approach for multi-attribute group decision-making

Tooranloo Hossein Sayyadi, Ayatollah Arezoo Sadat

Operations Research and Decisions

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2024

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Vol. 34, No. 2

121--134

EN

Uncertainty, imprecise, incomplete, and inconsistent information can be found in many real-life systems and may cause more complex problems. A neutrosophic set is an effective and useful tool to describe problems with Uncertainty, imprecise, incomplete, and inconsistent information. The neutrosophic set is characterized by three independent degrees namely the truth-membership degree (T), indeterminacy-membership degree (I), and falsity-membership degree (F). In this paper, we present an extension of the VIKOR method for the solution of multi-criteria decision-making problems, namely neutrosophic set-VIKOR (NS-VIKOR) in a refined neutrosophic environment. The weight of each decision-maker is considered a singlevalued neutrosophic number. The criteria for the weight of every decision-maker are also considered neutrosophic numbers. An aggregation operator is used to combine all decision-makers’ opinions into a single opinion for a rating between criteria and alternatives. Euclidean distances from the positive and negative ideal solutions are calculated to construct relative closeness coefficients. Lastly, an illustrative example of tablet selection is provided to show the applicability of the proposed VIKOR approach.

4

Fuzzy Evaluation of the Production Strategies, Policies and Methods: Evidence from a Longitudinal Case Study

Pesic Aleksandar, Pesic Duska, Ivkovic Slavko

Management and Production Engineering Review

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2024

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Vol. 15, No. 1

35--43

EN

This paper presents a model for evaluating production strategies, policies and methods based on fuzzy set theory. To illustrate the application of a model, the longitudinal case study was carried out in the sector of automotive components and parts production in Serbia. Within the automotive supplier industry, analysis is concentrated on the Cooper Standard company, one of the world’s most prominent component suppliers. The study was conducted with the management team of the Cooper Standard branch in Serbia. Triangular fuzzy numbers are employed to effectively evaluate the critical areas of production management and overall competitiveness over time. The findings of the empirical survey confirmed the usability and usefulness of the proposed approach. Also, the longitudinal character of this case study provided an opportunity to follow the patterns of change over a period of 5 years (2019–2024).

5

Review of the achievements of employees of the Lublin University Of Technology in the field of fuzzy set utilization

Celiński Maciej, Kiersztyn Adam

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2024

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T. 14, nr 2

133--140

EN

In this paper, we present a review of research on the applications of fuzzy set theory conducted by Lublin University of Technology researchers. We focus on analyzing research trends and practical applications of fuzzy sets in time series analysis and missing data imputation. Fuzzy sets constitute a key methodology for addressing data uncertainty and imprecision. We discuss various techniques within the field of fuzzy sets, including fuzzy classification, outlier detection, and missing data imputation, emphasizing their significance across various fields of science and social life. The presented results indicate the potential for innovative research and further development in this field. The academic community at Lublin University of Technology plays a significant role in promoting and advancing fuzzy set theory, which is crucial for future scientific and technological research.

PL

W niniejszym artykule przedstawiamy przegląd badań nad zastosowaniami teorii zbiorów rozmytych prowadzonych przez naukowców z Politechniki Lubelskiej. Skupiamy się na analizie trendów badawczych i praktycznych zastosowaniach zbiorów rozmytych w analizie szeregów czasowych oraz imputacji brakujących danych. Zbiory rozmyte stanowią kluczową metodologię do rozwiązywania problemów związanych z niepewnością i nieprecyzyjnością danych. Omawiamy różne techniki w dziedzinie zbiorów rozmytych, w tym klasyfikację rozmytą, wykrywanie wartości odstających oraz imputację brakujących danych, podkreślając ich znaczenie w różnych dziedzinach nauki i życia społecznego. Przedstawione wyniki wskazują na potencjał innowacyjnych badań i dalszego rozwoju w tej dziedzinie. Społeczność akademicka Politechniki Lubelskiej odgrywa istotną rolę w promowaniu i rozwijaniu teorii zbiorów rozmytych, co jest kluczowe dla przyszłych badań naukowych i technologicznych.

6

Determining a Fuzzy Model of Time Buffer Size in Critical Chain Project Management

Marek-Kołodziej Katarzyna, Łapuńka Iwona

Engineering Management in Production and Services

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2024

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Vol. 16, no. 3

41--55

EN

Elaborating and applying a new model for estimating the time buffer size of a project programme, which shall guarantee a 90 % probability of timely project execution. The research included source text analysis to provide information on a research gap and the identification of the research problem. The research problem was identified: the time buffer size in a critical path programme does not guarantee a 90 % probability of timely project execution. A new model was then elaborated to estimate the buffer size; it was applied in a technical production preparation project. An additional comparative analysis was performed using the following methods to verify the model more accurately: half of the time total of a path, the sum of squares (SSQ), and the root square error method (RSEM). The application of the fuzzy model to estimate the buffer size in a critical chain programme offers can shorten the total planned project duration. It has a higher probability of timely project execution than other methods for estimating the buffer size. It guarantees a 90 % probability of timely project execution, keeping aggressive task times, which eliminates unwanted situations such as student syndrome, Parkinson’s law, overestimating task duration, and multitasking. Project programming is an inherent part of the project planning stage in project management. Recently, project management has been increasingly developing, which has been confirmed by the article’s source literature analysis. The analysis revealed a research gap in models estimating project buffer size, which might guarantee a 90 % probability of timely project execution. Thus, a fuzzy model for estimating time buffer size in a critical chain was developed, constituting added value to the science of management and quality of production engineering (currently, mechanical engineering). The fuzzy model for estimating time buffer size was applied in one Polish enterprise in a project for a new product’s technical production preparation. The fuzzy model for estimating time buffer size permits the shortening of the duration of tasks to aggressive times, guaranteeing a 90 % probability of project timely execution. The elaborated model for estimating time buffer size may be applied further in practice in projects programmed using the critical chain method.

7

Risk modeling in quality assessment of ready-mix concrete using simulation methods

Skrzypczak Izabela, Zięba Joanna, Pytlowany Tomasz

Architecture Civil Engineering Environment

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2024

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Vol. 17, no. 1

71--76

EN

Uncertainties associated with assessing the strength of concrete and the shortcomings of statistical criteria for assessing compliance are the reasons for formulating new procedures for classifying manufactured concrete, as well as for estimating risk when assessing its quality. Using the proposed model based on simulation methods and Gauss or Clayton copulas, it is possible to calculate the value of risk in the production of ready-mixed concrete with underestimated quality. Exposure to risk in assessing the quality of concrete can be measured as the product of the level of risk and the consequences of embedding under-quality concrete in a structure, and the developed matrix makes it possible to determine the level of risk and contribute not only to its quantification during the various phases of its production, but can affect the final quality of the concrete produced. Using the proposed model, the article calculates the level of risk in the production of ready-mixed concrete with underperformance.

8

Metody adaptacji systemów wiedzy opartej na zbiorach rozmytych

Małolepsza Olga

Studia i Materiały Informatyki Stosowanej

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2023

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T. 15, nr 1

11--20

PL

Metody adaptacji systemów wiedzy opartej na zbiorach rozmytych są bardzo ważnym tematem, ponieważ udoskonalają i optymalizują wydajność systemów rozmytych poprzez właściwą metodę adaptacji. Metoda adaptacji zależy od konkretnego zastosowania, wymagań systemowych, dostępnych danych i dziedziny problemu. W artykule przedstawiono zagadnienia związane ze zbiorami rozmytymi oraz podano przykłady. Ponadto zaprezentowano metody adaptacji systemów wiedzy opartej na zbiorach rozmytych takie jak algorytmy genetyczne, programowanie ewolucyjne, algorytmy uczące się, uczenie przez wzmacnianie oraz adaptację online.

EN

Adaptation methods for knowledge systems based on fuzzy sets are a very important topic because they improve and optimize the performance of fuzzy systems through a proper adaptation method. The adaptation method depends on the specific application, system requirements, available data and the problem domain. In this paper, the issues related to fuzzy sets are presented and examples are given. In addition, methods for adaptation of fuzzy set-based knowledge systems such as genetic algorithms, evolutionary programming, learning algorithms, reinforcement learning and online adaptation are presented.

9

Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture — Extended Abstract)

Cornelis Chris, Bollaert Henri

Annals of Computer Science and Information Systems

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2023

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Vol. 35

67--67

EN

Fuzzy set theory is a popular AI tool designed to model and process vague information. Specifically, it is based on the idea that membership to a given concept, or logical truthhood of a given proposition, can be a matter of degree. On the other hand, rough set theory was proposed as a way to handle potentially inconsistent data inside information systems. In Pawlak's original proposal, this is achieved by providing a lower and upper approximation of a concept, using the equivalence classes of an indiscernibility relation as building blocks. Noting the highly complementary characteristics of fuzzy sets and rough sets, Dubois and Prade proposed the first working definition of a fuzzy rough set, and thus paved the way for a flourishing hybrid theory with numerous theoretical and practical advances. In this tutorial, we will explain how fuzzy rough sets may be successfully applied to a variety of machine learning problems. After a brief discussion of how the hybridization between fuzzy sets and rough sets may be achieved, including an extension based on ordered weighted average operators, we will focus on the following practical applications: 1. Fuzzy-rough nearest neighbor (FRNN) classification, along with its adaptations for imbalanced datasets and multi-label datasets 2. Fuzzy-rough feature selection (FRFS) 3. Fuzzy-rough instance selection (FRIS) and Fuzzy-rough prototype selection (FRPS) We will also demonstrate software implementations of all of these algorithms in the Python library fuzzy-rough-learn.

10

Process evaluation of soil treatment effect in Mu Us sandy land of Daji Khan in northern Shaanxi province based on fuzzy set

Chen Xiaowan, Liang Jichao, He Xinxin, Liu Dandan, Liu Jinbao, Jin Tao, Xie Jiancang

Acta Geophysica

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2023

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Vol. 71, no. 3

1579--1594

EN

As an important resource for human survival, soil plays an important role in maintaining productivity, environmental quality, animal and plant health, etc. Soil quality evaluation, as a decision-making tool to improve understanding of soil quality, can effectively indicate soil status. Mu Us sandy land of Daji Khan in northern Shaanxi Province is one of the serious desertification areas in China. The phenomenon of soil erosion and ecological deterioration is extremely serious. Therefore, it is urgent to strengthen to pay attention to the research of Mu Us sandy land, to help the restoration of damaged soil, and to build a powerful soil ecosystem. In this paper, the soil quality in the process of development and utilization of the Mu Us sandy land was evaluated based on fuzzy sets for the purpose of sustainable utilization of compound soil. Based on soil structure and soil fertility, 16 evaluation indexes of soil quality in Mu Us sandy land were screened, and then the evaluation index system of soil quality was constructed. The fuzzy multi-objective decision-making model based on fuzzy sets was used to comprehensively evaluate the soil quality from 2013 to 2019. We calculated that the year-on-year growth rates of soil quality from 2013 to 2019 are 13.56, 0.16, 12.81, 33.84, 9.68, and 14.80%, respectively. The results showed that the overall soil quality in the study area showed a trend of increasing year by year, and the year-on-year increase was the largest in 2017. Meanwhile, the reasons for the sudden increase in soil quality in typical years were analyzed. The results showed that the dominant factor of this phenomenon was the comprehensive influence of soil fertility. Furthermore, the relationship between soil fertility and cultivated horizon in typical years was analyzed one by one, and the specific factors affecting soil fertility were discussed.

11

Kierunki i perspektywy rozwoju sztucznej inteligencji

Tadeusiewicz Ryszard

Śląskie Wiadomości Elektryczne

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2022

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Nr 2 (140)

6--21

PL

Prezentowany tekst przedstawia zasadnicze elementy wykładu wygłoszonego podczas uroczystej sesji związanej z jubileuszem 30-lecia Akademii Inżynierskiej w Polsce. Omówiono w nim źródła i kierunki rozwoju sztucznej inteligencji, wskazano przyczyny jej rosnącej popularności oraz dokonano przeglądu ważniejszych metod informatycznego rozwiązywania problemów, zaliczanych do sztucznej inteligencji. Omówiono także kierunki rozwoju owych metod, wskazując, że nie stanowią one zwartej metodologii, lecz są kolekcją różnych rozwiązań, zmierzających do uzyskania inteligentnego działania maszyn, co zasygnalizowano mówiąc o archipelagu sztucznej inteligencji. Skupiono także uwagę na problemie zagrożeń potencjalnie niesionych przez rozwój sztucznej inteligencji i wskazano na sposoby ograniczania tych zagrożeń.

EN

The presented text shows the essential elements of the lecture delivered during the solemn session on the 30th anniversary of the Engineering Academy in Poland. It discusses the sources and directions of the development of artificial intelligence, indicates the reasons for its growing popularity and reviews the more important methods of IT problem-solving, classified as artificial intelligence. The directions of development of these methods were also discussed, indicating that they do not constitute a coherent methodology, but are a collection of various solutions aimed at achieving intelligent operation of machines, which was indicated when talking about the archipelago of artificial intelligence. Attention was also focused on the problem of threats potentially brought by the development of artificial intelligence and indicated ways of reducing these threats.

12

Wpływ metody kalkulacji na wartość kosztów cyklu życia budynku

Plebankiewicz Edyta, Zając Karolina

Materiały Budowlane

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2022

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nr 10

57--60

PL

W artykule zestawiono i porównano koszty cyklu życia obiektu w technologii tradycyjnej i energooszczędnego. Analizę kosztów cyklu życia przeprowadzono czterema metodami. W przypadku dwóch metod - metody prostej bazującej głównie na kosztach zużytej energii oraz metody LCNPV, wariant energooszczędny okazał się mniej korzystny od tradycyjnego. Największą przewagę budynku energooszczędnego nad tradycyjnym widać w przypadku metody zaproponowanej w rozporządzeniu.

EN

The article summarizes and compares the life cycle cost in traditional and energy-saving technology. The life cycle cost analysis was carried out for the two options using four methods. In the case of two methods - the simple method based mainly on energy costs and the LCNPV method, the energy-saving variant turned out to be less favorable than the traditional one. The greatest advantage of an energy-saving building over a traditional one can be seen using the method proposed in the regulation.

13

Fuzzy trading system on the forex market for deriving the portfolio of instruments

Juszczuk Przemysław, Kruś Lech

Control and Cybernetics

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2022

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Vol. 51, No. 4

467--486

EN

Decision support and trading systems for the forex market mostly derive a single signal for the decision-maker. This is so, because instruments are evaluated based on a single criterion, which creates a ranking of instruments, from which the best one is selected. At the same time, one can observe a lack of tools al- lowing one to derive the set of non-dominated trading opportunities considered in the multicriteria space. This article focuses on multicriteria analysis, in which several different market indicators describe a single instrument on the forex market (currency pair), leading to definite criteria. Thus, for a given time horizon, we consider a set of currency pairs described by a group of technical market indicators in every trading session. However, instead of deriving crisp information, based on the buy-no buy binary logic, we use concepts from the fuzzy sets theory, in which each criterion for a single variant takes a value from the h0, 1i interval. We select only the non-dominated variants from such a set, which will be used as elements of the portfolio of currency pairs on the forex market. We test our idea on the real-world data covering more than ten years, several technical market indicators, and over twenty different currency pairs. The preliminary results show that the proposed idea can be treated as a promising concept for deriving a portfolio of currency pairs instead of focusing on only a single currency pair.

14

Fuzzy Controller for Simplified Model of Mobile Vehicle Steering Booster

Koleda Peter, Naščák Ľubomir, Hrčková Mária, Magdolinič Róbert

Multidisciplinary Aspects of Production Engineering

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2021

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Vol. 4, Iss. 1

40--50

EN

The article is aimed on the possibility of fuzzy control of an experimental device that represents the simplified model of automobile steering booster. The main part of model consists of a graphical unit illustrating the control of speed and supporting torque. Based on the structure of fuzzy controller, various counts and configurations of fuzzy sets were defined, whereby the relevant results were achieved by their application on controlled system.

15

Reliability estimation of a Network Structure using Generalized Trapezoidal Fuzzy Numbers

Kumar Amit, Dhiman Pooja

Journal of KONBiN

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2021

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Vol. 51, iss. 1

225--241

EN

Classical sets are used commonly to consider reliability. Because of the uncertainty in the data (which considered in the present paper) classical sets fail to describe the reliability accurately. Uncertainty leads to fluctuation in the actual situation of the structure. Fuzzy logic method attempts to test system reliability with the benefit of membership function. Within this context, specific problems of reasoning-based approaches are studied, explored and correlated with standard reliability approaches. In this paper Generalized Trapezoidal Fuzzy numbers (GTrFN) are used to assess the structure's fuzzy reliability. The reliability of each event is assigned with different level of satisfaction and some improved operations on the generalized trapezoidal fuzzy numbers (GTrFN) are used to calculate the fuzzy boundaries for the resultant reliability of the final event along with the degree of satisfaction. Also the results are compared to demonstrate the application of the improved operations on Generalized Trapezoidal Fuzzy Numbers (GTrFN). The obtained results converge to more precise interval values as compare to the vague fuzzy number.

16

Model of the text classification system using fuzzy sets

Salahor Dmytro, Smołka Jakub

Journal of Computer Sciences Institute

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2021

|

Vol. 19

144--150

PL

Klasyfikacja tematyki pracy według słów kluczowych jest aktualnym i ważnym zadaniem. W artykule opisano algorytmy klasyfikowania słów kluczowych według obszaru tematycznego. Model został opracowany przy użyciu dwóch algorytmów i przetestowany na danych testowych. Uzyskane wyniki porównano z wynikami innych istniejących algorytmów odpowiednich do tego zadania. Uzyskane wyniki modelu analizowano. Algorytm ten może być stosowany w zadaniach rzeczywistych.

EN

Classification of work’s subject area by keywords is an actual and important task. This article describes algorithms for classifying keywords by subject area. A model was developed using both algorithms and tested on test data. The results were compared with the results of other existing algorithms suitable for these tasks. The obtained results of the model were analysed. This algorithm can be used in real-life tasks.

17

Fuzzy approach to device localization based on wireless network signal strength

Socha Michał, Górka Wojciech, Michalak Marcin

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2021

|

T. 11, nr 2

14--21

EN

The paper presents an original approach to device location detection in a building. The new method is based on a map of individual interiors, drawn up based on the measurements of the strength of wireless network signals for each building venue. The device is initially assigned to all venues whose descriptions sufficiently correspond with the current measurements taken by the device. A fuzzy assignment level for each of the potentially considered venues depends on the difference between the averaged network strengths for the venue and the signal strengths currently measured with the device for localization purposes. Ultimately, the device is assigned to the venue with the highest level of assignment.

PL

W pracy przedstawiono oryginalną metodę lokalizowania urządzeń w budynku. Nowa metoda bazuje na mapie poszczególnych pomieszczeń, stworzonej w oparciu o pomiary sygnałów sieci bezprzewodowych zmierzonych w tych pomieszczeniach. Wstępnie urządzenie przypisywane jest do tych pomieszczeń, których opis w odpowiednim stopniu pokrywa się z pomiarami dokonanymi przez urządzenie. Stopień rozmytej przynależności do każdego z wstępnie wytypowanych pomieszczeń zależy z kolei od różnicy pomiędzy uśrednionymi wartościami sygnałów sieci bezprzewodowych i aktualnie zmierzonymi do celów lokalizacji. Ostatecznie urządzeniu przypisywane jest to pomieszczenie, dla którego stopień przynależności jest największy.

18

Application of a fuzzy controller in the process of automated polyethylene film thickness control

Jardzioch Andrzej, Marczak Wioletta

Applied Computer Science

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2021

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Vol. 17, no. 3

31--46

EN

The present article aims to describe the design of a fuzzy controller used for automated control of the thickness of the extruded polyethylene film effected by the adjustment of the actuator in the cooling ring. In order to determine whether the designed controller operates properly, a model extruder was created and a simulation study was carried out. The Simulink programming environment integrated with Matlab was used for the development of the fuzzy controller and the simulation. The conducted simulation study demonstrated that the implementation of the designed controller would enable the adjustment of thickness on the perimeter of the film tube and quick reaction to possible departure in the assumed film thickness in mass production.

19

Two-Stage Intuitionistic Fuzzy Transportation Problem through the Prism of Index Matrices

Traneva Velichka, Tranev Stoyan

Annals of Computer Science and Information Systems

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2021

|

Vol. 26

89--96

EN

In today's market environment not all the parameters of the transportation problems may not be known precisely. Uncertain data can be represented by fuzzy sets (FSs). Intuitionistic FSs (IFSs) are an extension of FSs with a degree of hesitansy. The paper presents a new approach for solution of a two-stage intuitionistic fuzzy transportation problem (2-S IFTP) through the prism of index matrices (IMs). Its main objective is to find the quantities of delivery from manifacturers and resselers to buyers to maintain the supply and demand requirements at the cheapest transportation costs. The solution procedure is demonstrated by a numerical example.

20

A Model for Planning Wagonload Freight Transport Under Relative Uncertainty

Cisowski Tadeusz, Wojciechowski Łukasz, Zubrzycki Jarosław, Małek Arkadiusz

Advances in Science and Technology. Research Journal

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2021

|

Vol. 15, no. 4

332--341

EN

The study presents a mathematical model for the development of an optimal wagon transport plan in conditions of relative uncertainty. It describes an algorithm that allows searching for an optimal railroad-blocking plan in an environment of approximate initial data. The algorithm is based on the branch-and-bound method and fuzzy intervals. An example is provided of how an optimal transport plan for wagon flows given in this way can be determined.