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Found 6407 publications

Fuzzy signature and cognitive modelling for complex decision model

Tamás D. Gedeon Laszlo T. Koczy Kok Wai Wong

Publication Name: Advances in Soft Computing

Publication Date: 2007-12-01

Volume: 42

Issue: Unknown

Page Range: 380-389

Description:

As data is getting more complex and complicated, it is increasingly difficult to construct an effective complex decision model. Two very obvious examples where such a need emerges are in the economic and the medical fields. This paper presents the fuzzy signature and cognitive modeling approach which could improve such decision models. Fuzzy signatures are introduced to handle complex structured data and problems with interdependent features. A fuzzy signature can also be used in cases where data is missing. The proposed fuzzy signature structure will be used in problems that fall into this category. This paper also investigates a novel cognitive model to extend the usage of fuzzy signatures. This Fuzzy Cognitive Signature Modelling will enhance the usability of fuzzy theory in modelling complex systems as well as facilitating complex decision making process based on ill structured information or data. © 2007 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-540-72434-6_38

Comprehensive assessment of oil degradation patterns in petrol and diesel engines observed in a field test with passenger cars – Conventional oil analysis and fuel dilution

Charlotte Besser András Lajos Nagy Adam Agocs J. Rohde-Brandenburger József Perger Michael Schandl Zsolt Tabakov Nicole Dörr

Publication Name: Tribology International

Publication Date: 2021-09-01

Volume: 161

Issue: Unknown

Page Range: Unknown

Description:

Requirements for modern internal combustion engines are lower emissions, higher power density and longer maintenance intervals. These trends increase the demands on engine components, including lubricants. In a field study of petrol and diesel vehicles, oil condition of 47 engine oils from 12 vehicles are correlated with fresh oil properties and operating conditions, i.e., trip length and speed. Long-range petrol vehicles displayed accelerated chemical oil degradation compared to diesel vehicles. An explanation for this behaviour is assumed to be the difference air-to-fuel ratio. Short-range petrol vehicles showed an even faster oil degradation and significant changes in oil viscosity due to fuel dilution. Diesel vehicles exhibited higher soot loading and more pronounced engine wear indicated by iron content in the oils.

Open Access: Yes

DOI: 10.1016/j.triboint.2021.107079

Omnibus legislation: a tool for and against the rule of law in developing and established democracies

Zsolt Szabó

Publication Name: Journal of Legislative Studies

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The use of omnibus legislation is increasing all around the world. This paper looks at legislative data and cases of omnibus legislation from three countries at different stages of the democratic transition process: Turkey, Indonesia and Hungary. In these countries, omnibus legislation was a tool used by dominant executives to circumvent or weaken the parliament. Omnibus legislation is a flexible tool for compromised law reforms (legal approximation of EU integration), and frequently used also for political bargaining, in order to reach package deals within the legislature (Italy, Canada, the USA). On the other hand, omnibus laws make the legislative procedure less transparent. The possibility of constant amendment packages in (negative) omnibus laws erodes legal perfection and brings uncertainty and mistakes into laws, which then call for even more amendments for corrections, creating a vicious circle.

Open Access: Yes

DOI: 10.1080/13572334.2026.2667669

Public perceptions under the spotlight: The role of public communication in shaping acceptance and resistance towards nuclear energy and battery manufacturing in Hungary

Mónika Rajcsányi-Molnár Márta Konczos Szombathelyi István András Márta Konczos Szombathelyi

Publication Name: Energy Research and Social Science

Publication Date: 2026-02-01

Volume: 132

Issue: Unknown

Page Range: Unknown

Description:

The scope of the paper is the examination, comparison and analysis of the public perception of the nuclear energy and battery manufacturing sectors in Hungary with a focus on the role of public communication in the effectiveness of public acceptance. The study uses focus group discussions conducted in three cities in Hungary and analyses their results using thematic analysis. The study investigates the levels of knowledge of the respondents regarding the subject, their perceptions of sectoral benefits and risks, trust in various stakeholders, and the effect of public communication. These are revealed in eight coding frames, which provide a detailed map to the data on each research subtopic (dimensions, categories, subcategories, definitions, occurrence), while representative examples are provided in the Results. The study reveals complex knowledge levels on both investigated sectors, with nuclear energy seen as providing for energy safety and being good for the environment, whereas battery manufacturing was associated with economic profit and environmental pollution. Trust in the government and industry, as well as the credibility of the scientific community significantly differed between the two sectors. We can conclude that media communication and corporate public communication play a critical role in perception. Furthermore, to gain confidence in battery manufacturing, targeted sensitive sector frameworks should be used to address concerns and to emphasize benefits to the public.

Open Access: Yes

DOI: 10.1016/j.erss.2026.104531

An AI-Driven Framework for Network Intrusion Detection Using ANOVA-Based Feature Selection

Sandor R. Repas Salam Allawi Hussein

Publication Name: International Journal of Advanced Computer Science and Applications

Publication Date: 2025-12-31

Volume: 16

Issue: 12

Page Range: 853-861

Description:

In the last few years, cyberattacks have become more complex, and it is becoming increasingly necessary to establish secure networks. This study examines enhancements to intrusion detection systems (IDSs) with the implementation of machine learning for the categorization of network traffic attacks. For the current study, we utilize four publicly available datasets: CICIDS2017, CIC-DoS2017, CSE-CIC-IDS2018, and CIC-DDoS2019. We examined three machine learning techniques: LightGBM, Random Forest, and XGBoost. Experimental results showed that RandomForest and XGBoost achieved the highest accuracy of 0.99 in both binary and multi-class intrusion detection tasks, maintaining balanced performance with macro F1-scores around 0.86. LightGBM exhibited slightly lower overall performance, but benefited from ANOVA-based feature selection, which improved its recall and model stability. Feature selection also enhanced computational efficiency by reducing feature redundancy while preserving accuracy across models. These results highlight how AI tools could help network security deal with emerging threats and improve the performance of IDS. The study underscores the critical role of feature selection in enhancing model efficiency, hence promoting advancements in automated network security systems that can adapt to evolving cyber threats.

Open Access: Yes

DOI: 10.14569/IJACSA.2025.0161280

Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions

János Botzheim Krisztián Balázs Laszlo T. Koczy

Publication Name: 2010 World Automation Congress Wac 2010

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this paper various restrictions are proposed in the construction of hierarchical fuzzy rule bases by using Genetic and Bacterial Programming algorithms in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The properties (learning speed, accuracy) of the established systems are observed based on simulation results and they are compared to each other. © 2010 TSI Press.

Open Access: Yes

DOI: DOI not available

Multi TP model transformation for functions with different numbers of variables

Peter Baranyi

Publication Name: 8th IEEE International Conference on Cognitive Infocommunications Coginfocom 2017 Proceedings

Publication Date: 2017-07-02

Volume: 2018-January

Issue: Unknown

Page Range: Unknown

Description:

Models in the cognitive sciences and AI are typically based on heuristic combinations of soft computing methods - including fuzzy approaches, neural networks and others. It is often difficult, if not completely intractable to apply operations between such models, as they are usually given in different mathematical representations or using different frameworks that may or may not be suitable for their unification. This paper focuses on the TP model transformation, which plays an important role in transforming various model representations to a unified form that fits well with formalised mathematical design concepts. The novelty of the paper is a new extension of the TP model transformation that is capable of transforming a set of models with a different number of inputs. This is in contrast to previous solutions, in which the requirement for all models to have the same number of inputs was a strong limitation.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2017.8268287

The historical role of milk and dairying in shaping European societies

László Varga

Publication Name: Elelmiszervizsgalati Kozlemenyek

Publication Date: 2017-06-30

Volume: 63

Issue: 2

Page Range: 1537-1547

Description:

Based on results recently published in the scientific literature, the author briefly outlines in this mini-review how dairying has become, over thousands of years, a basic activity of humankind. Following the domestication of cattle, goats and sheep, which had begun approximately 10,500 to 11,000 years ago in the Middle East, milk was already in use in northwestern Anatolia by the seventh millennium BC. In lack of lactase, however, milk consumption resulted in unpleasant outcomes (e.g., flatulence, cramps, diarrhea, etc.) in the vast majority of prehistoric farmers. The negative symptoms associated with lactose intolerance were later considerably alleviated by the introduction of simple milk processing techniques such as fermentation. Thus, for instance, Neolithic farming communities in north-central Poland started producing cheese between 6800 and 7400 years ago. Intriguingly, the ability to digest lactose in adulthood, termed lactase persistence (LP), emerged as a result of a genetic mutation at about the same time in central Europe, and the LP allele has been subject to strong positive selection afterwards. As the so-called gene–culture coevolutionary model suggests, the cultural evolution of dairy farming tightly entwined with the biological evolution of LP over millennia, and these processes are likely to have profoundly influenced the genetic composition of European populations.

Open Access: Yes

DOI: DOI not available

Examining the Naringin Content and Sensory Characteristics of Functional Chocolate Fortified with Grapefruit Peel Extract

Beatrix Sik Aron Csuti Zsolt Ajtony

Publication Name: Plant Foods for Human Nutrition

Publication Date: 2023-09-01

Volume: 78

Issue: 3

Page Range: 533-538

Description:

Grapefruit peel contains a high concentration of naringin- a potent antioxidant with strong bioactive properties. In this study, a new type of functional chocolate fortified with grapefruit peel extract and different concentrations of aqueous methanol and ethanol were evaluated as extraction solvents. A new high-performance liquid chromatography (HPLC) method to analyze the naringin content of the fortified chocolates was developed with a recovery of 107% ± 3.1% and repeatability below 3.5%. A sensory evaluation was conducted to assess the preference for the chocolates among individuals who self-described a preference for bitter flavors. No significant preference was observed in the cases of astringency and aftertaste while the increased bitterness proved to be favorable. However, taste, flavor and overall acceptability were regarded somewhat less favorably. While chocolate proved to be a satisfactory carrier for naringin and had several enjoyable characteristics, further research may focus on improving the organoleptic properties of chocolates fortified by naringin.

Open Access: Yes

DOI: 10.1007/s11130-023-01091-5