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Found 6319 publications

On the convergence of fuzzy grey cognitive maps

István A. Harmati Ĺaszĺo T. Ḱoczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2020-01-01

Volume: 945

Issue: Unknown

Page Range: 74-84

Description:

Fuzzy grey cognitive maps (FGCMs) are extensions of fuzzy cognitive maps (FCMs), applying uncertain weights between the concepts. This uncertainty is expressed by so-called grey numbers. Similarly to FCMs, the inference is determined by an iteration process, which may converge to an equilibrium point, but limit cycles or chaotic behaviour may also turn up. In this paper, based on the grey weighted connections between the concepts and the parameter of the sigmoid threshold function, we give sufficient conditions for the existence and uniqueness of fixed points for sigmoid FGCMs.

Open Access: Yes

DOI: 10.1007/978-3-030-18058-4_6

Classification of plantar foot alterations by fuzzy cognitive maps against multi-layer perceptron neural network

Miklós F. Hatwágner Antonio Hernandez-Zavala Silvia L. Chaparro-Cardenas Julian Andres Ramirez-Bautista Ĺaszĺo T. Ḱoczy Jorge A. Huerta-Ruelas

Publication Name: Biocybernetics and Biomedical Engineering

Publication Date: 2020-01-01

Volume: 40

Issue: 1

Page Range: 404-414

Description:

Load distribution analysis on foot surface allows knowing human mechanical behavior and aids the doctor in the detection of gait disorders like, the risk of foot ulcerations, leg discrepancy, and footprint alterations. Plantar pressure data combined with techniques that use integral reasoning produce easy understanding medical tools for assisting in treatment, early detection, and the development of preventive strategies. The present research compares the classification of human plantar foot alterations using Fuzzy Cognitive Maps (FCM) trained by Genetic Algorithm (GA) against a Multi-Layer Perceptron Neural Network (MLPNN). One hundred and fifty-one subject volunteers (aged 7–77) were classified previously with the flat foot (n = 70) and cavus foot (n = 81) by specialized physicians of the Piédica diagnostic center. The trial walking was conducted using plantar pressure platforms FreeMed®. The foot surface was divided into 14 areas that included toe 1 st to 5th, metatarsal joint 1st to 5th, lateral midfoot, medial midfoot, lateral heel, and medial heel. Pressure data were normalized for each area. Better performance in the classification using small amounts of data were found by using Fuzzy rather than non-Fuzzy approach.

Open Access: Yes

DOI: 10.1016/j.bbe.2019.12.008

The effect of background and outlier subtraction on the structural entropy of two-dimensional measured data

Brigita Sziová Levente Solecki Szilvia Nagy

Publication Name: International Journal of Reasoning Based Intelligent Systems

Publication Date: 2020-01-01

Volume: 12

Issue: 3

Page Range: 200-209

Description:

For colonoscopy images the main information is in the fine structure of the surface of the bowel or colorectal polyps, similarly to the case of combustion engine cylinder surface scans, where the grooving and wear can be detected from the fine pattern superposed to a cylinder curvature. In both cases appear outliers, colonoscopy images have many reflections, whereas the roughness scanners detect small dust particles as well as the micron scale vibrations from the environment. The method presented in this paper takes care of both the problems using histogram stretching together with a special type of filtering. Also, masks are introduced in order to control the effect of the operators. The effects of the processing steps on the structural entropy of the image is also studied, as structural entropies are used in characterisation of the images. By removing the background makes the structural entropies much smaller, and by suppressing the outliers the structural entropies increase.

Open Access: Yes

DOI: DOI not available

Intelligent production of the future - first results of a survey

Manuel Fechter Ádám Szaller Tamás Várgedő Gábor Nick Christian Fries Dóra Bányai Viharos Zsolt János

Publication Name: 17th Imeko TC 10 and Eurolab Virtual Conference Global Trends in Testing Diagnostics and Inspection for 2030

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 402-407

Description:

Witnessing the unprecedented scale and speed of industry transformation due to digitization in general and the emergence of smart solutions in all aspects of manufacturing in particular, it is well justified to deal with the question of what production of the future will look like. How intelligent will it be when the hard challenges and disruptive effects of the changes will be overcome, and what are the chances to meet the critical requirements of collaboration and cooperation, flexibility and competitiveness? What are the technological and management tools to avoid being stuck in the so-called pilot purgatory? These issues are addressed in an international survey based on a questionnaire specifically tailored to conclude to viable options and recommendations for industrial companies. The results that are mostly in conformity with those published in the literature show that there is yet a lot to do to facilitate a definite turn in the mindset of the actors and to make them realize the relevance of simultaneous and continuous cultural and technological development.

Open Access: Yes

DOI: DOI not available

Employer branding concept for small-and medium-sized family firms

Marta Konczosne Szombathelyi Pál Bite

Publication Name: Journal of International Studies

Publication Date: 2020-01-01

Volume: 13

Issue: 3

Page Range: 143-160

Description:

The area of this paper is employer branding of small-and medium-sized family firms. Its function is to attract the necessary quantity and quality of labour force to build competitive advantage in the market, differentiate from peers and thus facilitate company’s prosperity. Labour shortage and aging society strike Central and Eastern Europe, therefore, employers face a disadvantageous bargaining position. Family firms, that are mainly small companies, are in a unique situation. Although employer branding is a useful and hot topic nowadays in some regions of the world, it is yet greatly underresearched empirically for some kinds of associations. To close this gap, this paper aims to present an employer branding concept. We extracted the output from a two-folded literature review on the existing knowledge about the public image of small family firms and the psychological needs and employee expectations about such workplaces and employers. We narrow down the area by handling a specific pattern of employees and conducting the whole research in Hungary. The solution we are proposing to fill the gap is an employer branding concept created by customization of the Business Model Canvas.

Open Access: Yes

DOI: 10.14254/2071-8330.2020/13-3/10

On the names of states: Naming system of states based on the country names and on the public law components of state titles

Péter Takács

Publication Name: German Law Journal

Publication Date: 2020-01-01

Volume: 21

Issue: 6

Page Range: 1257-1282

Description:

General questions of name of the state are rarely discussed in the literature of public law, political science or legal theory, its terminology is neglected, and in its current state, it is a source of many misunderstandings. Pointed out these terminological problems this study proposes a theoretical framework for the naming system of states which takes into accounts the public law components of names. Among these components the significance of four factors are emphasized: the form of state (form of government), the structure, or organization of state, the role of seemingly neutral terms (for example, the words “commonwealth” or “state”), and, on the contrary, the role of politically, religiously or ethnically bound terms (such as “democratic”, “people's”, “Arab” or “Islamic”) in the names of states. After clarifying the difference between the terms country name and state name (state title), this study shows that there are cases when the state name (state title) function as country name, and when the country name fulfills the communicative function of the state title.

Open Access: Yes

DOI: 10.1017/glj.2020.71

How Blockchain Technology Can Benefit Marketing: Six Pending Research Areas

Horst Treiblmaier John G. Keogh Abderahman Rejeb

Publication Name: Frontiers in Blockchain

Publication Date: 2020-01-01

Volume: 3

Issue: Unknown

Page Range: Unknown

Description:

The proliferation of sophisticated e-commerce platforms coupled with mobile applications has ignited growth in business-to-consumer (B2C) commerce, reshaped organizational structures, and revamped value creation processes. Simultaneously, new technologies have altered the dynamics of brand marketing, enabling a broader reach and more personalized targeting aimed at increasing brand trust and enhancing customer loyalty. Today, the Internet allows marketers to penetrate deeper into their existing markets, create new online marketplaces and to generate new demand. This dynamic market engagement uses new technologies to target consumers more effectively. In this conceptual paper, we discuss how blockchain technology can potentially impact a firm's marketing activities. More specifically, we illustrate how blockchain technology acts as incremental innovation, empowering the consumer-centric paradigm. Moreover, blockchain technology fosters disintermediation, aids in combatting click fraud, reinforces trust and transparency, enables enhanced privacy protection, empowers security, and enables creative loyalty programs. We present six propositions that will guide future blockchain-related research in the area of marketing.

Open Access: Yes

DOI: 10.3389/fbloc.2020.00003

Stability of fuzzy cognitive maps with interval weights

No authors available

Publication Name: Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 756-763

Description:

In fuzzy cognitive maps (FCMs) based modelling paradigm, the complex system's behaviour is gathered by the causal connections acting between its main characteristics or subsystems. The system is represented by a weighted, directed digraph, where the nodes represent specific subsystems or features, while the weighted and directed edges express the direction and strength of causal relations between them. The state of the complex system represented by the so-called activation values of the nodes, that is computed by an iterative method. The FCM based decision-making relies on the assumption that this iteration reaches an equilibrium point (fixed point), but other types of behaviour, namely limit cycles and chaotic patterns may also show up. In practice, the weights of connections are estimated by human experts or machine learning methods. Both cases have their own uncertainty, which can be represented by using intervals as weights instead of crisp numbers. In this paper, sufficient conditions are provided for the existence and uniqueness of fixed points of fuzzy cognitive maps that are equipped with interval weights, which also ensure the global asymptotic stability of the system.

Open Access: No

DOI: DOI not available

Numerical plastic analysis of non-prismatic reinforced concrete beams strengthened by carbon fiber reinforced polymers

No authors available

Publication Name: Proceedings of the 2020 Session of the 13th fib International PhD Symposium in Civil Engineering

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 208-215

Description:

The non-prismatic reinforced concrete (RC) beam considered a unique case in structural engineering as it has variable depth all over beam section and it doesn't have sufficient information in structural codes, this can put structural engineers in a challenge to predict how this beam will react under specific types of loads or with different geometrical variables and strengthening existence. In this research, concrete plastic damage constitutive model developed and used to explore the shear strength of non-prismatic RC beam structure. Furthermore, in order to improve the shear strength of existent RC beams, Carbon Fiber Reinforced Polymers (CFRP) strips are attached to the surface of the critical sections. For this aim, initially numerical model was calibrated according to the data obtained from laboratory tests then a series of numerical simulations with different variables are carried out to investigate the shear behavior and these variables were: haunch angle a value and CFRP strips existence (composite status). The numerical results show that changing beams geometry (haunch angle a value) can have an influence over shear strength, in addition, using CFRP strips has an obvious effect on the failure behavior of the non-prismatic RC beam structure. Finite element simulations are executed by using ABAQUS.

Open Access: No

DOI: DOI not available