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Found 6383 publications

Behavioral Analysis of Fuzzy Cognitive Maps

Miklós F. Hatwágner

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 81-93

Description:

In this Chapter, we will discuss two further case studies, namely, problems that were proposed by a French bank. Our team was involved by the request of a French university, and we started to collaborate with their respective team, experts in management topics. The bank put up several models, but unfortunately the real-world equivalent of most models, the modeled system, remained unknown to us because of trade secrets. This made it difficult or impossible to determine the correctness of the models and fine-tune their settings in order to make their behavior more similar to reality. There was only one exception regarding the management system of the bank. The concepts of it were identified by themselves and the French specialist team, and experts have estimated the mutual influence strengths and directions of these components on each other. Models created this way unavoidably contain more or less subjective elements, but even if the models had been produced by machine learning, their thorough investigation is recommended before usage. Sometimes a subtle modification of connection weights or a different λ parameter in the threshold function can result in a model that behaves significantly different. This chapter describes a method to automatically investigate a model and detect if some of its components affect its dynamic behavior significantly. Two models were selected from those developed by the bank to illustrate the method and the results obtained with it.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_7

Analysis of Caffeine and Antioxidant Content of Ethiopian Coffee Varieties from Different Growing Areas

E. Lakatos Székelyhidi Rita Beatrix Sik Henrietta Bura

Publication Name: Journal of Food Processing and Preservation

Publication Date: 2023-01-01

Volume: 2023

Issue: Unknown

Page Range: Unknown

Description:

Quality coffee consumption is increasing nowadays; however, quality can only be achieved through appropriate cultivation and processing techniques. The study is aimed at using high-performance liquid chromatography (HPLC) and spectrophotometric techniques for evaluating different coffee varieties grown in Ethiopia based on caffeine, antioxidant, and polyphenol content. Despite coming from various coffee-growing regions, all of the tested coffee varieties (heirloom, forest coffee, heirloom 2, bourbon, mixed heirloom, and catuai) underwent wet processing. The data revealed that the caffeine content ranged from 0.14 to 0.37 mg/g, total antioxidant content from 63.75 to 78.05 mg AAE/g, and total polyphenol content from 27.08 to 31.04 mg GAE/g in the selected varieties. The findings show that the amount of the identified compounds is significantly (p ≤ 0 05) influenced by the variety type, growing area, and processing (intensity of roasting). The different coffee varieties were also tested for sensory quality, and the findings suggest that the typical coffee drinker prefers fruity flavors in their coffee, along with medium acidity and roasting intensity levels. The cultivation and processing technologies used in coffee production have a significant impact on the quality and sensory enjoyment of coffee.

Open Access: Yes

DOI: 10.1155/2023/8831024

User-Specific Load Profile Clustering for Automotive Battery Applications †

Krisztian Enisz Zoltán Szeli József Gábor Pázmány

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In applied battery research, use-case-driven prediction is becoming increasingly important, particularly for predicting real-life load profiles. This study proposes techniques to forecast lifetime load profiles for traction batteries, comparing urban- and highway-dominated vehicular use cases. Both charging and discharging scenarios are analyzed. We examine the uncertainty in these profiles and conduct a sensitivity analysis to understand the relationship between load profiles and user behavior. In this study, we introduce a novel methodology that maps behavioral and environmental parameters to battery load clusters, enabling us to identify high-risk aging scenarios. Based on parameter studies, we perform load profile clustering to identify critical use case groups and observe key parameter interactions. We present a case study of an idealized driver under Hungarian environmental conditions to predict outlier battery usage in fleets. This novel approach enables more robust predictions of aging and performance degradation for automotive traction batteries across different user clusters.

Open Access: Yes

DOI: 10.3390/engproc2025113074

Numerical modeling of pile load tests

Edina Bak

Publication Name: Pollack Periodica

Publication Date: 2013-08-01

Volume: 8

Issue: 2

Page Range: 131-140

Description:

Modeling of single pile behavior is examined using AXIS 8 VM and PLAXIS 3D software packages, and the database of 20 pile load tests made in Hungary. Cone Penetration Test diagrams and the load-displacement curves are used to determine the soil mechanical parameters and the limits of pile resistances as input data for the numerical calculations. The goal of this work is to assess how precisely can be determined the load-settlement curve using available interface and sub-grade reaction models compared to the field load test results. This study is the first stage of improving the combined pile-raft foundation modeling.

Open Access: Yes

DOI: 10.1556/Pollack.8.2013.2.14

Parallelization of one-at-a-time sensitivity study of nonlinear systems

F. Hajdu

Publication Name: Pollack Periodica

Publication Date: 2026-04-01

Volume: 21

Issue: 1

Page Range: 106-112

Description:

One-at-a-Time sensitivity study can be used for the development of nonlinear system models. However in the case of a lot of different parameters it requires a lot of calculations, which can be accelerated using parallelization. In this paper, the parallelization of the One-at-a-Time sensitivity study of a Duffing-type nonlinear vibration system is presented using Maple 17 and C++. With the results it was shown that the One-at-a-Time sensitivity study of nonlinear systems can be effectively parallelized.

Open Access: Yes

DOI: 10.1556/606.2025.01341

Decision-Analytics-Based Stock Selection: A Fuzzy Aczel–Alsina Ordinal Priority Approach

Dragan Pamucar Derya Deliktaş

Publication Name: International Journal of Fuzzy Systems

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In today’s competitive environment, evaluating and selecting stocks for portfolio optimization is a critical challenge for investors, especially under conditions of uncertainty. Traditional approaches often fail to address the complexities of multi-criteria decision-making (MCDM) in real-world investment scenarios. This study introduces a novel fuzzy Ordinal Priority Approach based on Aczel–Alsina weighted evaluation (OPA-AAWE) to tackle the portfolio selection problem. Taking into account seven financial performance criteria, the model was applied to 374 stocks listed on the Istanbul Stock Exchange for a period of 12 months. The findings demonstrate that the proposed methodology effectively handles uncertainty, offers flexibility in decision-making, and identifies the most optimal portfolios. Sensitivity analysis further confirms the robustness and reliability of the model. These results highlight the practical applicability of the fuzzy OPA-AAWE framework in real-world investment decision-making, offering investors a comprehensive tool for improved portfolio selection.

Open Access: Yes

DOI: 10.1007/s40815-025-02034-9

Storage Location Assignment in Indirect-Access Storage Systems

Tamás Hartványi Zoltan Andras Nagy Miklós Szabó

Publication Name: Lecture Notes in Logistics

Publication Date: 2024-01-01

Volume: Part F3450

Issue: Unknown

Page Range: 172-185

Description:

A common solution in warehouses is to provide direct access to products due to various service policies. The construction of such warehouses is quite expensive due to the extensive service roads required, but at the same time, in accordance with the Pareto principle, most of the variety of materials does not justify the provision of direct access. We believe that similar dynamics could be achieved on a smaller area with the right operation of an indirect access storage system, as if direct access were provided to all stored units. Meanwhile, the high variety of products and the low accessibility make it a challenge in selecting and implementing the right operation method. The efficiency is influenced by the layout of the warehouse, the assignment of stored units to storage locations, and the operating processes. We conducted simulations to examine these; the results will be presented here. The design of the warehouse and the stochastic material flow was not changed during the examinations; the initial arrangements of the stored materials and the procedures for their movement were built according to several aspects. This revealed how these factors affect efficiency, the computational capacity needed, and the mutual influence they exert.

Open Access: Yes

DOI: 10.1007/978-3-031-70977-7_10

Eclipse SUMO and Unity 3D integration for emission studies based on driving behaviour in virtual reality environment

Viktor Nagy Viktor Nagy Csaba József Májer Sámuel Lepold

Publication Name: Procedia Computer Science

Publication Date: 2025-01-01

Volume: 257

Issue: Unknown

Page Range: 396-403

Description:

This paper explores the development of a traffic simulator that harnesses the power of OpenStreetMap (OSM) data, integrating it into a unified framework using Blender, SUMO (Simulation of Urban MObility), and Unity 3D. The project aims to provide a realistic and versatile platform for simulating complex transportation scenarios for urban planning, traffic management, and virtual environment creation. The process begins with the extraction and preprocessing of OSM data, ensuring the representation of road networks and geographic features. Blender, a 3D modelling software, is used to visualise and enhance the environment. The resulting 3D models are loaded into Unity. SUMO - a microscopic traffic simulation software - plays a role in modelling vehicle dynamics, traffic flow, and interactions within the simulated environment. Via an integration hub, bringing together the visuality of Unity 3D environment and SUMO's precise traffic simulation. Through this collaboration, the simulator offers real-time interaction and analysis. With the help of SUMO's free emissions module, the pollution resulting from driving behaviour can be measured not only at the individual level but also the impact on the network as well. The combination of OSM data, SUMO, Blender, and Unity 3D provides a powerful and free tool to study and optimise urban mobility, ultimately contributing to the development of smarter and more sustainable transportation systems.

Open Access: Yes

DOI: 10.1016/j.procs.2025.03.052

Modelling Attitude as a Delighter in Supply Chains: A Kano-Based Perspective

Péter Németh Andrea Rankl

Publication Name: Logistics

Publication Date: 2026-04-01

Volume: 10

Issue: 4

Page Range: Unknown

Description:

Background: Global supply chains operate in increasingly volatile and technology-intensive environments shaped by digital transformation and artificial intelligence integration. While prior research has emphasized structural and technological enablers of flexibility, the behavioral foundations of supply chain adaptability remain insufficiently explored. Methods: This study develops a conceptual integration of the Kano model and the Cobb–Douglas production function to position managerial attitude as a strategic “delighter” within supply chain systems. The proposed framework models supply chain flexibility as a function of capital, labor, artificial intelligence integration, and managerial attitude within an extended economic representation. Results: The model suggests that managerial attitude acts as a behavioral amplifier that strengthens the performance effects of technological and economic inputs, potentially generating nonlinear gains in responsiveness and adaptive capacity. By distinguishing human-driven, algorithmic, and hybrid attitudinal configurations, the framework clarifies how behavioral orientations influence artificial intelligence adoption and supply chain flexibility, particularly in small and medium-sized enterprise contexts. Conclusions: Although conceptual in nature, the framework provides a formal analytical foundation for future empirical testing and elasticity-based sensitivity analysis in supply chain research.

Open Access: Yes

DOI: 10.3390/logistics10040074