Logical Approach Research Articles

FEATURES AND PROBLEMS OF FORMATION OF PRODUCTION AND TECHNOLOGICAL CHAINS IN THE DIGITAL SPACE OF INDUSTRY

The purpose of the study: the formation of production and technological chains in Russia of a complex structure, which consist of a set of industries with vertical and horizontal links. It is noted that large integrated structures will allow for the modernization of production based on innovations and ensure the technological security of the country in the context of sanctions from Western countries. Problem areas of activity caused by political and economic factors are identified. In the context of developing crisis trends, it is necessary to search for the most effective forms of interaction between participants within complex production structures, which can increase their competitiveness in the market. Structures with vertical and horizontal links are interested in high production results and increased competitiveness, due to more efficient use of resources and reduced transaction costs. The development of technologies will provide support for the development of new business models, control and develop business, model and automate decision-making processes, and develop cooperation in the ecosystem. The theoretical basis of the scientific work was the use of general scientific methods of cognition to the processes and phenomena under study, and the methodological basis was the synthesis of the theory of industrial production and neoclassical theory. The use of a logical approach allowed us to interpret the results obtained during the study, as well as to draw conclusions and formulate proposals on the use of various mechanisms, tools and models for the development of approaches to the development of a mechanism for managing the activities of production and technological chains. It was concluded that despite the current problems, Russian industry has sufficient resources and all the opportunities for the development and transformation of existing production and technological chains and the creation of new ones based on deepening integration processes and modernization of production.

Absurdity as the impossible command in natural deduction

AbstractIn this paper, we propose a new approach to absurdity in the context of natural deduction for intuitionistic and classical logic. It combines the aspects of both the logical approach, which treats absurdity as a propositional constant, and the structural approach, which treats absurdity as a structural punctuation mark signalling the dead end of derivations. In particular, we will treat absurdity as an impossible command, that is, a speech act composed of an imperative force indicator, and the false propositional constant, that is, a proposition that cannot be true by definition. In return, we obtain a framework that constitutes a middle ground between the logical and structural approaches. For example, it allows us to consider the ex falso quodlibet rule as a kind of structural rule, specifically, a semi‐structural rule, and at the same time also maintain that negation can be reduced to implication of absurdity, specifically, to its propositional content.

A.S.S.E.S.S. for Facial Fillers.

An in-depth and detailed facial assessment is critical in treating and achieving desirable dermal filler and neurotoxin results. An acronym called A.S.S.E.S.S. simplifies an often complex and overwhelming amount of data needed to assimilate when performing facial filler and neurotoxin injections. Applying this method to patients in six simple steps provides a starting point and offers a guideline to capture key details for a more comprehensive facial assessment. The A.S.S.E.S.S. acronym stands for animate, shape, side, external, symmetry, and shadows and is helpful in following a methodical approach in analyzing facial shape, profile, and natural facial curves in both static and dynamic states. Following a regimented A.S.S.E.S.S. approach prior to treating filler and neurotoxin patients allows providers a straightforward guide to achieve a desirable facial shape and profile. This stepwise facial assessment establishes a logical and detailed approach to ensure the important aspects of facial details are appreciated in creating reliable and pleasing filler and neurotoxin results.

FUZZY LOGIC-BASED POWER MANAGEMENT IN GRID-CONNECTED SOLAR ENERGY SYSTEMS

With the ever-increasing application of photovoltaic systems on the power grid, energy flow management and grid stability have become a key factor, especially under varying conditions like variable cloud cover and fluctuating load demands. The paper looks forward to proposing a fuzzy logic approach to the management of energy regarding a solar energy system connected to a grid, aiming at obtaining an optimised power distribution among PV generation, the grid, and battery storage. The proposed system will be driven by five input parameters, PV value, grid availability, load demand, battery state of charge, and tariff rate, to regulate the energy flow activity within different scenarios. The simulation results developed in the MATLAB Simulink environment proved the effectiveness of the applied controller in maintaining energy stability and fulfilling the requirements of a load within seven case studies for a 24-hour duration. The work points out the potential of fuzzy logic, besides reliability, in enhancing the efficiency of various renewable energy systems integrated with conventional energy supply grids.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0799/a.php" alt="Hit counter" /></p>

Practice of disclosure of information on fair value of financial instruments in financial statements

A number of Russian healthcare organizations, as well as many domestic organizations in other areas of activity, prepare financial statements in accordance with IFRSs. In order to prepare such statements, it is necessary, in particular, to disclose information on the fair value of financial instruments. Such disclosure is also provided for by many other accounting standards. It is assumed that fair value will be actively used for accounting of financial instruments in the future Russian FAS “Financial Instruments”. These instruments, in turn, are significant accounting objects for many organizations in both healthcare and other areas of activity (both domestic and foreign). Thus, high-quality disclosure of information on the fair value of financial instruments in financial statements is relevant for a significant number of modern economic entities. The analysis of this disclosure is carried out in this paper. In carrying out the research, such methods as analysis and synthesis, grouping method, comparison, analogy method, logical approach, systems approach were used. The results obtained in this paper will be useful to a wide range of readers interested in various problems of modern accounting and reporting, including improving the quality of reporting information. The provisions substantiated in this article can be applied in the educational process of higher educational institutions, as well as in the practical work of accounting departments of modern organizations, both in healthcare and other areas of activity.

Land acquisition and storage strategy and optimization of urban spatial layout

This article explores the relationship between land acquisition and storage strategies and optimization of urban spatial layout. By analyzing the current situation, challenges, and strategies for high-quality development requirements of land reserves, a logical approach for the preparation of land reserve planning has been proposed. Based on the actual case of Jinan City, Shandong Province, this paper summarizes the implementation effect of land reserve planning and looks forward to the future development direction.

A Fuzzy Logic Approach to Performance Evaluation of Genomics-Driven Crop Improvement

Genomics-driven crop improvement has emerged as a revolutionary approach to enhance yield, resilience, and nutritional value in agriculture. However, traditional performance evaluation methods often must catch up with agricultural systems' complex, multifaceted nature. This study proposes a fuzzy logic-based framework to assess the performance of genomics-driven crop improvement initiatives. By integrating fuzzy logic, we can effectively manage uncertainty and ambiguity inherent in agricultural data, allowing for a more nuanced evaluation of crop traits, environmental factors, and management practices. The paper begins by elucidating the fundamental principles of genomics-based agriculture and its impact on crop development. It then delves into the theoretical underpinnings of fuzzy logic and its applicability in modeling the multifaceted aspects of crop growth, encompassing genetic, environmental, and physiological factors. Through a synthesis of existing research and empirical data, the paper illustrates the effectiveness of fuzzy logic in capturing the nuances of crop development processes, including germination, flowering, and yield formation. This paper underscores the pivotal role of fuzzy logic analysis in advancing genomics-based agriculture, offering insights into the dynamic interactions shaping crop development and facilitating informed decision-making for sustainable and resilient food production systems in the face of evolving environmental challenges. Results indicate that the fuzzy logic approach enhances the accuracy of performance assessments and facilitates better decision-making in crop management.

Teacher Perceptions of Deep Learning Models for Special Need Students in Inclusive Vocational Schools: A Fuzzy Logic Analysis

This study investigated teacher perceptions of the Deep Learning model for students with special needs in a vocational school practicing inclusive education. Utilizing the fuzzy logic approach, data from teacher observations and surveys were processed. The research emphasized the critical role of Deep Learning model in addressing the challenges in inclusive education. Teacher insights are essential for enhancing the efficacy of the model in catering to the unique learning needs of special students. Understanding their perspectives contributes to the ongoing discourse on inclusive education, offering valuable insights for educators and policymakers striving to create more inclusive and equitable learning environments. This research contributes to the ongoing dialogue on inclusive education by shedding light on the practical implementation of the Deep Learning model for students with special needs in vocational education settings.

Pension reform in Ukraine

The pension system is an important area that ensures the stability of any society. In the conditions of a full-scale invasion of russia into Ukraine, in accordance with the essence of the solidarity pension system, there is an increase in deep disparities between the available number of persons who need pension protection and persons who have to form this protection with their contributions. The aim of the research is to evaluate the pension system of Ukraine under the conditions of martial law and to substantiate the directions for its improvement. The hypothesis was tested that the level of financial stability of the pension system affects the countryʼs ability to maintain social justice and the effectiveness of state regulation of human potential. In this research it was used a systematic and logical approach; method of theoretical generalization, comparison, analysis and synthesis, scientific abstraction. A feature of the pension system in Ukraine is the functioning of the first and third levels of the system, while the second is in a state of reform (does not work). The foundation of pension protection is the solidarity pension system, which suffered the most negative impact from the military operations on the territory of Ukraine. It is substantiated that today the Ukrainian and European pension systems have similar problems, which allows us to generalize the acquired experience and use advanced measures to improve the pension protection of Ukrainian citizens. Given the factors of the pension fund deficit and existing disproportions between the working population and pensioners, the following main approaches to the develop­ment of pension provision in Ukraine are proposed, such as comprehensive support for the development of non-state pension funds, the introduction of accumulative pension insurance; taking into account the European experience – the formation of an additional fund to the Pension Fund of Ukraine (PFU) to ensure a fair pension in the future. It is assumed that the use of European experience in the process of pension reform, taking into account the state of war in the country (which has no time frame for ending) will make it possible to harmonize the existing stratification between the working population and pensioners

A framework to assess the effectiveness index (EI) of the Indian SMEs to integrate lean and sustainability through combined fuzzy logic and systems approach

PurposeTo become a sustainable lean manufacturing (LM) system, an organization must be first distinctly cognizant of the terms “lean” and “sustainability” as they relate to the state of affairs of their particular industry and business. Next, the organization must identify and acquire the necessary qualities it needs to become sustainable in lean philosophy and its practices in the organization. The LM paradigm has been a top priority for many businesses; thus, this article is based on actual research done in Indian small and medium scale organizations to see how widely it is understood and implemented.Design/methodology/approachA framework was developed based on literature review and academic research. A preliminary analysis of a small number of small and medium-sized enterprises (SMEs) that, conceptually, summarizes and demonstrates the concerted efforts that a company may undertake to increase its leanness. This conceptual model was employed to create a questionnaire that was administered to survey the SMEs of India. The information gathered through this questionnaire was analyzed using the model developed by the researchers. Then fuzzy logic and systems approach were used to find out the effectiveness index (EI) of the organization.FindingsThe EI for system leanness at different organizational levels within an organization is determined using fuzzy logic and systems approach for 48 SMEs in different clusters. The average EI of the system was found to be 0.336 on a scale of 0–1 which indicates that the current state of lean implementation and its sustainability is very low and poor in Indian SMEs. This article outlines the key model components and describes how they were applied to analyze the data gathered from an industry study.Research limitations/implicationsThe research aims to make lean continuously sustainable by surfacing and eliminating the wastes in the Indian SMEs whenever it appears rather than using it as a cleaning tool. The present study was focused on India’s southern industrial areas and it was difficult to gather the information around the country due to its diverse industrial culture and geography. Hence, more research and the comparative study of the same that takes into account the various regions of the nation’s industrial lean behavior can be conducted.Practical implicationsThe generalized sustainable lean framework analyzed using fuzzy logic and systems approach gives the current effectiveness of the leanness in SMEs of south India. This model can be effectively implemented in other areas of the nation to identify the scenario of lean and its sustainability and a final comprehensive model can be developed.Originality/valueThere is a dearth of comprehensive studies on the assessment of sustainability of the lean philosophy in Indian SMEs. With the help of combined fuzzy logic and systems approach, the model developed in this study evaluates the sustainability of the lean methodology using the EI used in SMEs by taking into account both the lean and sustainability factors as well as enablers like customer satisfaction, ethics, innovation and technology.

Integrated and sustainable performance evaluation of urban rail transit systems using fuzzy sustainability index

The complexity of prominent dimensions in urban rail transportation sector arises from the involvement of several stakeholders and the various interacting variables for evaluating transportation performance. This study uses a fuzzy logic-based method to present an index-based framework for sustainable performance assessment. The proposed framework presents 4 main indicators which include environmental, economic, financial and social sustainability, 14 sub-indicators, 4 main indicators for transportation system effectiveness with 13 sub-indicators and 1 main indicator for multi modal integration with 6 sub-indicators. The performance ratings and importance weights of the transport sustainability attributes are evaluated using a fuzzy logic approach. A numerical illustration is provided to demonstrate the applicability of the approach. The results show that system capacity (passenger capacity of a route), comfort and customer service (passenger environment and ride quality, maintenance cycle) and multimodal integration (park and ride facilities) were found to be weaker attributes. The proposed methodology facilitates the systematic understanding of the prominent attributes for achieving integrated and sustainable transport performance by using the ‘Fuzzy Transport Sustainability Index’.

Fever of Unknown Origin in Children

Fever is a common symptom in children and fever of unknown origin (FUO) is not uncommon in paediatric age group. The FUO remains a challenging clinical problem and is an important cause of morbidity and mortality in children. These undifferentiated prolonged fevers need step-wise approach for diagnosis. Details and proper history taking, thorough serial physical examination, critical analysis of sign-symptoms diary and investigation reports are crucial to get a clue that led to the diagnosis. Though in some aspect more concerned with developing countries data, this article is based on reviewing of published papers from both developed and developing countries. Worldwide infection remains the most common cause of FUO in children, followed by collagen vascular diseases, neoplasm, miscellaneous diseases and undiagnosed illnesses. Indiscriminate use of antimicrobials and other medications may mask the real diagnosis. Awareness of primary-level healthcare providers about the cause and logical management approach of pediatric FUO is important for better outcome. Journal of Monno Medical College December, 2023; 9 (2):78-84

Use of Fuzzy Logic in Determining the Academic Achievement of Secondary School Students in Mathematics Class

Many studies have been found in the field of education using the fuzzy logic approach. However, no study has been found examining the academic achievement of secondary school students in mathematics. The research data consists of the exam notes of the 1st term 1st and 2nd Mathematics course of the 2023-2024 academic year in Kütahya. The study consists of the exam scores of 876 students studying in 4 secondary schools in the center of Kütahya. To study a fuzzy logic-based two-input and single-output system was designed using Fuzzy Logic Toolbox in the Matlab program. Totally 9 fuzzy rules were created. The academic success was evaluated first with classical method and then with the designed fuzzy-based model. According to the results obtained, it has been observed that there is a high positive relationship between fuzzy logic method and classical logic method. It was academic success score obtained fuzzy logic method was less than classical logic method for grades 5 and 7. But it was obtained fuzzy logic method was more than classical logic method for grades 6 and 8. In conclusion was reached in favor of fuzzy logic due to fuzzy logic method gives more flexible results.

Comparative study of real-time photovoltaic fault diagnosis using artificial intelligence: Fuzzy logic and neural network approaches

ABSTRACT Solar photovoltaic (PV) systems are becoming increasingly popular for renewable energy production. However, due to environmental and operational conditions, various faults can occur in PV modules, which can cause a significant reduction in system performance. This study suggests employing two distinct approaches, Fuzzy Logic (FL) and Artificial Neural Networks (ANN), to diagnose defects in photovoltaic (PV) systems. Both the simulation and measuring are used to compare the performance of various strategies. The simulation was performed using MATLAB/Simulink, while the experiment was carried out using the dSPACE DS1104 platform to apply the diagnostic model built in the Matlab/Simulink® program. The suggested approaches have been verified using an experimental database of climatic and electrical attributes obtained from a photovoltaic (PV) panel situated at the LGEB Laboratory of the University of Biskra in Algeria. For six single- and multi-fault types, partial shading, soiling, SC of one by-pass diode, SC of two by-pass diodes, by-pass diode shunted and shading & by-pass diode disconnected. A dSPACE DS1104 platform which shows the results and informs the user about the state of the PV panel has also been developed. The results of the simulation show that both FL and ANN methods can accurately detect and diagnose the six types of faults by 100% and 99.7%, respectively. The study demonstrates the effectiveness of both FL and ANN methods for PV fault diagnosis. However, in the experimental tests, the ANN method shows better performance in terms of accuracy compared to FL by 99.6% and 99.2%, respectively, and speed takes only 1.04s, while FL consumes 3.02s and could be a more practical solution for real-time surveillance PV fault diagnosis

Adjusting dialysis dose (Kt) scaled to Body Surface Area (BSA) could be a more logical approach.

The dialysis dose, quantified as Kt, is conventionally scaled to the urea distribution volume (V) to calculate the Kt/V ratio as an indicator of dialysis adequacy. However, the body surface area (BSA) is recognized as a more accurate reflection of metabolic activity compared to V. This study presents evidence supporting the enhanced efficacy of the Kt/BSA ratio as an indicator of hemodialysis adequacy. The study population comprised 211 individuals undergoing hemodialysis, all of whom had Kt/V values determined. Body composition was assessed using bioimpedance techniques, and BSA was calculated employing the DuBois and DuBois formula. The ratio of V/BSA served as the conversion factor to derive Kt/BSA from the standard Kt/V. Participants were categorized by gender, and a comparative analysis was performed on dialysis-related parameters alongside body composition indicators. Concurrently, linear regression analysis was applied to Kt/V and Kt/BSA, as well as to pairs of V and BSA, to elucidate the relationships among these variables. The average Kt/V ratio was 1.50 with a standard deviation of 0.28. The Kt/V ratio was significantly higher in women (P < 0.01). Conversely, the Kt value, when not adjusted for body size, was significantly lower in women (P < 0.01). Upon scaling Kt to BSA to calculate Kt/BSA, the gender difference in dialysis dose adequacy was no longer statistically significant (P = 0.06). Men exhibited a significantly higher mean V/BSA ratio. Additionally, women had a slightly higher mean percentage of fat mass (P < 0.01). In contrast, women had a lower mean percentage of muscle mass (P < 0.01). Our findings suggest that the Kt/V ratio may underestimate the required hemodialysis dose for women. There was no gender difference when Kt scaling to BSA. Consequently, the Kt/BSA ratio, which accounts for body surface area, may play a significant role in more accurately scaling the hemodialysis dose.

Risk analysis of urea manufacturing plant using fuzzy logic approach

The potential hazard element of chemical process industries has become severe with technological developments over the past few years. Fertilizer industries like the urea industry deal with highly toxic components in nature, causing severe consequences. This paper implements the fuzzy lambda-tau (λ-τ) approach with the Petri net (PN) model on a urea manufacturing plant. The PN model helps to reduce the complexity of the problem, whereas fuzzy logic helps to deal with the uncertainty and vagueness of data. The urea plant has been divided into three major units, that is, the reacting unit (RU), purifying unit (PU), and concentrating unit (CU). The different reliability parameters, such as failure rate, repair time, reliability, and mean time between failures (MTBF), are determined for all these units with different spread rates (±15%, ±25%, and ±35%). A significant change of around 75% and 9% was observed for overall repair time and MTBF, respectively, for a ±35% spread rate. The reliability parameters are found as a function of the square of the spread rate. These studies suggest that the PU of the urea plant is the most vulnerable one and thus requires timely maintenance to avoid any accidents in the future. Furthermore, a detailed qualitative study is done utilizing failure mode and effect analysis (FMEA) to outline the numerous failure causes in order to enhance the system's availability and maintainability. The limitations of conventional FMEA are addressed in this study by obtaining fuzzy RPN values after application of the fuzzy FMEA technique. On comparison of the RPN and FRPN values, the FRPN values are found to be more reliable while prioritizing the failure causes in process industries.

Evaluation of physical risk factors by fuzzy failure mode and effects analysis: an apparel mill example

This study investigates the evaluation of risks faced by employees in a selected large-scale apparel mill using a risk assessment method with a fuzzy logic approach. The study found that risk assessment in the apparel industry is more accurate and reliable when using a fuzzy logic approach. Measurements were taken in three different time periods for noise, vibration, thermal comfort and lighting, which are physical risk factors. To evaluate the identified failure modes, the Failure Mode and Effects Analysis (FMEA) method was first applied. Then, for the same failure modes, the fuzzy FMEA method was applied using Fuzzy Logic Designer, an add-on to MATLAB. The study concludes that the fuzzy FMEA method can be a more useful method for risk assessment in the apparel industry.

A Disappearance of National Security Information: A Case Study of Article 329 of the Criminal Code of Ukraine, in Particular

The study of the consequences of the disappearance of national security information is vital for national security and international relations. It helps to understand the threats better and develop effective strategies to prevent and minimize the impact of incidents. This article aims to examine the cases of the disappearance of national security information and its consequences for national and international security. The methodological basis for this article includes a dialectical method of scientific knowledge, content analysis, modeling, and the logical and normative approach. The article emphasizes the importance of proper criminal law qualification for such actions. The study also determines the legal status of such actions in criminal law and the impact of statutory provisions on the prevention of and response to such incidents on an international scale.

Improving the Critical Thinking Capacity of the Subject Protecting the Ideological Foundation of the Communist Party of Vietnam from a Logical Approach

Critical thinking plays an extremely important role in the awareness and practical activities of people in society in general, and particularly for those who protect the ideological foundation of the Communist Party of Vietnam in the current period. Facing increasingly sophisticated and complex schemes and tactics by hostile forces, this team needs to strive to enhance their critical thinking capacity to ensure the most effective protection of the Party’s ideological foundation. Therefore, the study of critical thinking from a logical approach, which suggests requirements and solutions to improve the critical thinking capacity of those protecting the Party’s ideological foundation, holds significant theoretical and practical importance. This is aimed at successfully implementing Resolution No. 35-NQ/TW of the 12th Politburo on Strengthening the protection of the Party’s ideological foundation and combating wrong and hostile views in the new situation.

E-Learning Course Design Based on Cloud-Based Fuzzy Logic Approach for Foreign Language Teaching and Learning

E-Learning Course Design Based on Cloud-Based Fuzzy Logic Approach for Foreign Language Teaching and Learning