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Publications - 6674

Some considerations on data mining from questionnaires by constructing fuzzy signatures based on factor analysis

Publication Name: Journal of Intelligent and Fuzzy Systems

Publication Date: 2019-01-01

Volume: 36

Issue: 4

Page Range: 3739-3749

Description:

To interpret and to process the answers to questionnaires with large amount of questions may be not easy task. They are multidimensional data, sometimes with high dimensionality (in the hundreds). Therefore, it is necessary that some data reduction approach should be employed. On the other hand, answers to specific questions in questionnaires are imprecise, and the type and degree of imprecision is determined by the kind of the questions. The authors of the paper consider the imprecise answers to management type questions using a numerical scale as fuzzy degrees, and based on the semantic connections among the individual questions, a hierarchical structure is assumed. The paper suggests the use of factor analysis in order to determine this hierarchical structure, and thus the construction of fuzzy signatures from the tree graph representing the connections among the questions and answers, and the values normalized into membership degrees are assigned to the leaves of this tree. An interesting issue is how to determine the aggregations at the intermediate nodes. This may happen based on management science domain expert knowledge, and validated by the obtained results. Kohonen maps are used to demonstrate the clusters emerging among the overall fuzzy degrees representing the Fuzzy Signatures. The evaluation brings some results that partly confirm soft science based assumptions about employee behavior in the literature, and partly bring some interesting novel recognitions that may be brought in feedback to the original management science related problem, where the new method is illustrated.

Open Access: Yes

DOI: 10.3233/JIFS-18548

AN ACCELERATED BENDERS DECOMPOSITION ALGORITHM FOR THE MULTI-ITEM FIXED-CHARGE TRANSPORTATION PROBLEM

Publication Name: Engineering Review

Publication Date: 2025-01-01

Volume: 45

Issue: 2

Page Range: 52-66

Description:

In today’s industrial and service sectors the role of transportation is unavoidable. Due to this importance, an optimized transportation plan with minimum transportation costs can be a favour for the managers. In this study a multi-item fixed-charge transportation problem with capacitated multiple transportation mode is considered. As such problem is of high degree of complexity, we focus on the Benders decomposition approach to solve it. For this aim, first the classical Benders decomposition approach is developed for the problem. This is the first time in the literature that the Benders decomposition algorithm is developed for this problem. In continue, as another novelty, an accelerated benders decomposition algorithm is developed for the problem by adding some valid inequalities to the classical Benders decomposition algorithm. These valid inequalities can effectively influence the performance of the classical Benders decomposition algorithm. Several test problems with various sizes are generated to test the proposed solution approaches. The test problems are solved by the classical branch and bound algorithm and the proposed classical and accelerated Benders decomposition algorithms. According to the obtained results the accelerated Benders decomposition algorithm performs better than others in terms of reporting optimal solution and CPU running time.

Open Access: Yes

DOI: 10.30765/er.2661

Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review

Publication Name: Logistics

Publication Date: 2021-12-01

Volume: 5

Issue: 4

Page Range: Unknown

Description:

The emergence of blockchain technology has sparked significant attention from the supply chain management (SCM) and logistics communities. In this paper, we present the results from a thorough bibliometric review that analytically and objectively identifies the intellectual structure of this field, the seminal papers, and the most influential scholars. We employ a knowledge domain visualization technique to generate insights that go beyond other review studies on blockchain research within logistics and SCM. The analysis starts with selecting a total of 628 papers from Scopus and the Web of Science that were published during 2016–2020. The bibliometric analysis output demonstrates that the number of blockchain papers has rapidly increased since 2017. The most productive researchers are from the USA, China, and India. The top academic institutions contributing to the literature are also identified. Based on network analyses, we found that the literature concentrates mainly on the conceptualization of blockchain; its potentials for supply chain sustainability; its adoption triggers and barriers; and its role in supporting supply chain agility, trust, protection of intellectual property, and food/perishable supply chains. Besides systematically mapping the literature, we identify several research gaps and propose numerous actionable research directions for the future. This study enriches the extant blockchain literature, provides a timely snapshot of the current state of research, and examines the knowledge structure of blockchain research in logistics and SCM with the help of evidence-based scientometric methods.

Open Access: Yes

DOI: 10.3390/logistics5040072

Law pertaining to political parties and political pluralism - Freedom of the foundation and functioning of political parties in post-communist Hungary

Publication Name: Acta Juridica Hungarica

Publication Date: 2007-03-01

Volume: 48

Issue: 1

Page Range: 71-85

Description:

This paper studies the law pertaining to political parties in Hungary, from the viewpoint of establishing and maintaining of political pluralism. In the period of 1989-1990, the transition from the one-party system to the democratic and pluralistic state of law could be followed up relative to the development of the law pertaining to the political parties, which is based on the rules that foreclose the contingent development of unconstitutional political system. The paper reviews the concept of the political party according to the constitutional law, the normative framework of functioning and the regulations of the internal organization of political parties. The provisions of primary importance concern: a) equality of political parties, b) forbidden purposes and instruments, c) rules of incompatibility, d) state subvention. Rules concerning the internal organization require the openness and the prevailing of democratic will-making also inside the political parties, so contribute to the maintaining the democratic competition of political parties. The author emphasizes the factors that determine multiparty-system, and argues that electoral thresholds and the effective method of state-financing of political parties contest the principle of equality and harm the fair-competition. Thresholds and subvention are both based on the effectiveness of political parties-though being capable to prevent the party system and the parliament from fragmentation, nonetheless, they prefer extensively, if not unconstitutionally, the political parties in the Parliament, so they can be seen as being designed to protect the current political elite. © 2007 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/AJur.47.2007.1.5

Food safety risk analysis utilising K-lexicographic-max product of neutrosophic graph

Publication Name: Ain Shams Engineering Journal

Publication Date: 2025-12-01

Volume: 16

Issue: 12

Page Range: Unknown

Description:

In this study, we introduce the concept of the K-Lexicographic Max Product (K−LMP) of neutrosophic graphs and explore its associated degree structure to enhance decision-making frameworks in food safety applications related to risk assessment, including freshness, contamination, and spoilage. Neutrosophic graphs, capable of handling indeterminacy, inconsistency, and incompleteness, provide a flexible mathematical foundation for modelling complex systems. By incorporating the K−LMP into neutrosophic graphs, we offer a novel approach to comparing and ranking food safety scenarios where multiple attributes and uncertain information coexist. We present example graphs and theorems related to K−LMP and further define the K-Lexicographic degree to quantify node significance within the context of neutrosophic graphs. To validate the practical utility of this approach, a food safety analysis is implemented, demonstrating how the model identifies critical control points and supports more robust, transparent decision-making under uncertainty. This work contributes to the advancement of neutrosophic graph theory and its interdisciplinary application in food quality and safety management.

Open Access: Yes

DOI: 10.1016/j.asej.2025.103761

Investigation of the synthesis and thermal insulation properties of K2Ti6O13 whisker-reinforced SiO2 micro powder composite coating fabrics

Publication Name: Energy

Publication Date: 2025-08-01

Volume: 328

Issue: Unknown

Page Range: Unknown

Description:

Developing functional textiles with thermal insulation and hydrophobic properties is of significant interest. This study successfully synthesizes K2Ti6O13 (potassium titanate, KTO) whiskers via the hydrothermal method and prepares KTO composite silica polyester fabric (KSP) through impregnation technology, exhibiting excellent thermal insulation and hydrophobic qualities. X-ray diffraction (XRD) analysis verifies the high purity and excellent crystallinity of KTO whiskers and SiO2 micro-powder. Scanning electron microscopy (SEM) images reveal that the KTO whiskers retain their original morphology and exhibit uniform size distribution, with an average length of around 1 μm and an aspect ratio of 40. Transmission electron microscopy (TEM) images further validate the planar growth properties of the whiskers. Raman spectroscopy research elucidates the vibrational modes of various chemical bonds in the KTO whiskers. The ultraviolet–visible–near-infrared spectrophotometer test results demonstrate that the KSP fabric reflects 43.5 % more light than standard polyester fabric and substantially lowers the temperature in the covered chamber under simulated sunlight exposure, achieving a maximum reduction of 7.4 °C. The KSP fabric has exceptional hydrophobic properties, completing a contact angle of 153.2° and maintaining reflectance stability, with a mere 5.92 % reduction after 20 days of outside exposure. This work offers substantial reference value for the advancement of practical textiles.

Open Access: Yes

DOI: 10.1016/j.energy.2025.136557

Evaluating the impact of advertising strategies on rural brand building: Insights from the personal care FMCG sector

Publication Name: Innovative Marketing

Publication Date: 2025-01-01

Volume: 21

Issue: 3

Page Range: 117-127

Description:

This study examines how advertising strategies, namely, content, media, and design, influence brand-building efforts in rural markets, with a specific focus on the mediating role of content relevance. Anchored in the Elaboration Likelihood Model (ELM), the research recognizes that rural consumers often process advertising through the peripheral route, relying on visual, linguistic, and cultural cues rather than rational evaluation. Data were collected through a structured survey of 498 rural consumers across thirteen towns in Madhya Pradesh. Using covariance-based structural equation modelling, the study finds that advertising content (β = 0.353), media (β = 0.253), and design (β = 0.298) significantly affect brand perceptions. More importantly, content relevance emerges as a key mediator, with indirect effects ranging from β = 0.180 to 0.243 (p < 0.01), indicating that rural consumers are more likely to engage with advertising that aligns with their values, language, and lifestyle. Theoretically, the study extends the ELM framework to low-involvement consumer settings and highlights the nuanced role of cultural relevance in shaping brand engagement. Practically, the findings offer marketers a roadmap for creating locally adapted and emotionally resonant campaigns that move beyond urban-centric models. This research underscores the im-portance of designing inclusive advertising strategies that build lasting brand relationships with India’s diverse rural population.

Open Access: Yes

DOI: 10.21511/im.21(3).2025.09

Emotion and Reasoning in Hungarian heart Metaphors

No authors available

Publication Name: Language, Expressivity and Cognition

Publication Date: 2023-01-01

Volume:

Issue:

Page Range: 17-35

Description:

Open Access: No

DOI: DOI not available

Cybervetting and Digital Footprints in Talent Acquisition: A Media Narrative Perspective on Information Management in Recruitment

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Cybervetting is an evolving phenomenon and has witnessed a significant surge in its application across industrial sectors. It can be regarded as the practice of scrutinizing the database of the digital footprints of job candidates found on the Internet and social media platforms for drawing inferences about the eligibility of a prospective employee. The deliberations and debates in the news articles and media platforms are a rich source of data that represent the real time views and thoughts of experts and public on a particular theme. The study intends to identify the various dimensions of the use of cybervetting by recruiters and job seekers, the two most important stakeholders in the talent acquisition space. Also, the study identifies the important motivators for the use of this practice, the pertinent concerns, and suitable remedies for resolving them. The findings of the study offer valuable insights and evidence for cybervetting from the perspective of a recruiter and the job aspirant, in comprehending the complexities and intricacies of the digital identities.

Open Access: Yes

DOI: 10.4018/JGIM.388745