scholarly journals FUZZY-LOGICAL EXPERT SYSTEM FOR ASSESSING THE FINANCIAL SECURITY OF ENTERPRISES

2021 ◽  
Vol 7 (4) ◽  
pp. 123-135
Author(s):  
Valentin Myachin ◽  
Olena Yudina ◽  
Oleksandr Myroshnychenko
Keyword(s):  
Expert System ◽  
Financial Reporting ◽  
Financial Analysis ◽  
Economic Security ◽  
Fuzzy Expert System ◽  
Financial Security ◽  
Output Variable ◽  
Financial Reports ◽  
Input Variables ◽  
Integral Indicator

The purpose of this study is to build a fuzzy expert system for assessing the financial component of the economic security of telecommunications enterprises. The methodological basis of the research is founded on scientific works of domestic and foreign scientists and leading experts in the field of financial analysis and modeling of economic processes, as well as statistical and financial reporting data that are publicly available. To construct an integral indicator of the financial security of an enterprise, a fuzzy conclusion is used. Three financial indicators are used as input variables. The first indicator X1 is the Current Ratio (CR). The second indicator X2 is Equity Ratio (ER). The third indicator is Return on Assets (ROA). The output variable is defined as an indicator of the financial security of an enterprise Y123 (FS). Both the input variables and the output variable are converted to fuzziness by constructing membership functions. The type and parameters of the affiliation function are justified, and the bell-shaped affiliation function is chosen to describe the uncertainty of values that fall under the normal distribution. The quantity of fuzzy sets at every input is considered as z=3 and the quantity of input variables is considered as ω=3. To achieve completeness of the model, the quantity of logic rules is considered as r=33=9. To calculate a degree of market concentration, Mamdani fuzzy conclusion is applied. Defuzzification is engaged to calculate the value of the output variable Y123(FS) for an indicator that determines the degree of financial security of an enterprise and, as a result, the degree of its economic security. To assess the level of the financial security indicator of an enterprise, a fuzzy expert system is constructed. The fuzzy expert system allows you to use various indicators thanks to the fuzzy logic methodology, which takes into account the fuzziness of input variables and output variables as much as possible. For the three telecommunications companies whose core business is wireline communication, ratios are calculated based on financial reports. Financial coefficients are used to determine the integral indicator of financial security of enterprises. This indicator can be characterized by both numerical values and linguistic terms.

scholarly journals FUZZY-LOGICAL APPROACH TO CONSTRUCTING AN INTEGRAL INDICATOR IN A LEVEL ESTIMATION MODEL SIGNIFICANT MARKET ADVANTAGE

2021 ◽  
Vol 7 (2) ◽  
pp. 139-145
Author(s):  
Valentin Myachin ◽  
Olena Yudina
Keyword(s):  
Expert System ◽  
Membership Function ◽  
Market Concentration ◽  
Fuzzy Expert System ◽  
Output Variable ◽  
Economic Competition ◽  
Logical Approach ◽  
Input And Output ◽  
Input Variables ◽  
Integral Indicator

The purpose of this research is to construct fuzzy expert system to estimate an integral degree of market concentration by fuzzy-logical approach. The methodological basis of the study consists of scientific works of domestic and foreign scientists and leading specialists, statistical and analytical materials of state authorities. Fuzzy Inference is introduced for the integrated indicator construction. Two indicators are chosen as input variables. The first indicator, CR, is a level of concentration ratio. The second indicator, HHI, is the Herfindahl-Hirschman index. Output variable, MC indicator, means a degree of market concentration. Both input and output variables are transformed to fuzziness through the construction of membership function. The function type and parameters are substantiated and “bell”-shaped membership function to describe uncertainty of the values falling under normal distribution is chosen. The quantity of fuzzy sets at every input is considered z=3 and the quantity of input variables is considered ω=2. To achieve completeness of the model, the quantity of logic rules is considered r=3²=9. To calculate a degree of market concentration, Mamdani fuzzy conclusion is applied. Defuzzification is engaged to calculate value of the output variable which is MC indicator to mean a degree of market concentration and therefore readiness to implement the innovation strategy for enterprises active in innovation. To estimate a degree of market concentration, the fuzzy expert system given allows for engagement of different indicators due to fuzzy logic methodology which considers fuzziness of the input and output variables. The construction of an integral indicator for assessing the state of economic competition in order to establish the feasibility of identifying operators and providers with a significant market advantage will improve the assessment of the state of economic competition in the market in the telecommunications services market in Ukraine.

scholarly journals Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources

2020 ◽  
Vol 12 (8) ◽  
pp. 3115
Author(s):  
Ronggang Zhang ◽  
Sathishkumar V E ◽  
R. Dinesh Jackson Samuel
Keyword(s):  
Renewable Energy ◽  
Expert System ◽  
Energy Management ◽  
Smart Home ◽  
Demand Management ◽  
Fuzzy Expert System ◽  
Renewable Energy Resources ◽  
Home Management ◽  
Efficient Energy ◽  
Input Variables

This article provides a fuzzy expert system for efficient energy smart home management systems (FES-EESHM), demand management, renewable energy management, energy storage, and microgrids. The suggested fuzzy expert framework is utilized to simplify designing smart microgrids with storage systems, renewable sources, and controllable loads on resources. Further, the fuzzy expert framework enhances energy and storage to utilize renewable energy and maximize the microgrid’s financial gain. Moreover, the fuzzy expert system utilizes insolation, electricity price, wind speed, and load energy controllably and unregulated as input variables to enable energy management. It uses input variables including insolation, electrical quality, wind, and the power of uncontrollable and controllable loads to allow energy management. Furthermore, these input data can be calculated, imported, or predicted directly via grid measurement using any prediction process. In this paper, the input variables are fuzzified, a series of rules are specified by the expert system, and the output is de-fuzzified. The findings of the expert program are discussed to explain how to handle microgrid power consumption and production. However, the decisions on energy generated, controllable loads, and own consumption are based on three outputs. The first production is for processing, selling, or consuming the energy produced. The second output is used for controlling the load. The third result shows how to produce for prosumer’s use. The expert method can be checked via the hourly input of variable values. Finally, to confirm the findings, the method suggested is compared to other available approaches.

scholarly journals ASSESSMENT OF THE PROSPECTS FOR RESTORING THE FINANCIAL SECURITY OF THE STATE

2021 ◽  
Vol 5 (40) ◽  
pp. 226-235
Author(s):  
N. Shmygol ◽  
O. Galtsova ◽  
D. Krylov ◽  
A. Semenov ◽  
K. Shaposhnykov
Keyword(s):  
Financial System ◽  
Economic Security ◽  
The State ◽  
Financial Security ◽  
Economic Governance ◽  
Risk Zone ◽  
Cause And Effect ◽  
Current State ◽  
Made In ◽  
Integral Indicator

Abstract.In the modern period of economic governance, the assessment of the financial security of the state takes place in different directions, different groups of indicators, different methods. Mainly in scientific works, there is a desire for bringing the various components of the assessment of financial security to an integral indicator, taking into account the normalized values of individual indicators, which requires an assessment of their weight and always contains certain subjectivity through the involvement of experts in this process. Considering that the financial system of any country is the basis for the functioning of the economy, and Ukraine has a complex of accumulated socio-economic problems that constantly accompany it, this predetermines the high relevance of this area of research in recent decades. Considering approaches to assessing the level of financial and economic security, it is necessary to refer to the Methodological Recommendations for calculating the level of economic security of Ukraine, in which for this purpose the method of reconciling their estimates with individual systems of advantages that are not publicly available was used. Therefore, in this study, when forming this system of preferences, which affects the direction of the formation of the national strategy of financial and economic security, it is proposed to use the existing cause-and-effect relationships between its components. Taking into account these cause-and-effect relationships and according to the introduced symbols, a matrix of paired comparisons was done by expert means, which determines the direct impact of some components of the country’s financial security on others. The analysis which is made in the article it possible to assess the dynamics in all areas of financial security on the basis of group indicators and identify the most problematic indicators. On the other hand, such an assessment does not give an idea of which risk zone certain indicators belong to, since each of them has its own limits of acceptable values, which is indicated in the article. This direction requires further research and will help determine whether the current state of the state’s financial security belongs to a particular risk zone. Keywords: assessment of financial security, financial system, integral indicator, budget security, currency security. JEL Classіfіcatіon G17, E22, E66 Formulas: 2; fig.: 0; tabl.: 3; bibl.: 20.

A Fuzzy Expert System for Car Evaluation

2019 ◽  
Vol 11 (2) ◽  
pp. 11-19
Author(s):  
Jimmy Singla
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Data Bases ◽  
Input Variables ◽  
Selection Of

In this work, a fuzzy expert system (FES) is designed and developed to help customers in selection of a car. The work is supported on fuzzy expert system (FES) that was implemented with the data bases and expertise of customers. The input variables taken in this fuzzy expert system are same as used in literature. All these factors give an efficient car evaluation.

scholarly journals THE THEORETICAL BASIS OF ENTERPRISE FINANCIAL SECURITY AND THE MECHANISM OF ITS MANAGEMENT

2019 ◽  
pp. 80-87
Author(s):  
N. Pihul ◽  
A. Khomutenko
Keyword(s):  
Financial Analysis ◽  
Security Analysis ◽  
Security Management ◽  
Economic Security ◽  
Point Of View ◽  
Complex Nature ◽  
Financial Security ◽  
Financial Activity ◽  
Financial Condition ◽  
Financial Interests

The paper describes concept of "enterprise’ financial security" in modern conditions and compares the main approaches to its definition taking into account the complex nature of this economic category (from the point of view of the object of paramount attention, the task of the security system and the criterions of security). The authors identified two approaches to understanding the financial security of the enterprise: the first approach, which considers financial security in terms of the enterprise’ ability to withstand the threats of the internal and external environment; the second approach determines the enterprise’ financial security as the ability of the enterprise to perform its activities effectively in an uncertain and competitive environment. In addition, the study identified the essence of enterprise’ financial security management, its purpose, objectives, functions, principles, mechanism and basic elements of management. In the course of the research it was found that the most important in the enterprise’ financial security management is to built adequate mechanism of financial security management. The authors define such mechanism, as a set of basic influence’ elements on the process of development and implementation of management decisions to ensure the protection of his financial interests against various threats. Moreover, the authors investigated the systems of enterprise’ financial security analysis, which allow to investigate the financial condition and main results of financial activity of the enterprise in order to determine the level of protection of his financial interests from threats and identify the reserves for its improvement. The system of integral analysis was defined as the system that gives the most solid conclusions about the state of financial security. The main reason for this is that above mentioned system allows to conduct a deeper financial analysis, to evaluate the main areas of financial activity of the enterprise and to aggregate the obtained data into one indicator. Keywords: enterprise's economic security, enterprise's financial security, mechanism of the enterprise`s financial security, management of the enterprise`s financial security.

scholarly journals ANALISIS KINERJA KANTOR UNIT BANK RAKYAT INDONESIA (BRI) CABANG MEULABOH MELALUI PENDEKATAN METODE DATA ENVELOPMENT ANALYSIS (DEA)

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Arie Saputra
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Process Efficiency ◽  
Primary Data ◽  
Data Envelopment ◽  
Output Variable ◽  
Financial Reports ◽  
Input Variables ◽  
Branch Office ◽  
Number Of Customers

Efficiency is one of the important performance indicators in measuring the performance of an organization, determination of process efficiency by comparison to some of the units of measurement into a proportional response to the question of overall performance object pengmatan unit. This study aims to determine the value of the relativity of a banking organization's efficiency through approaches diunit Data Envelopment Analysis (DEA). Values relative efficiency of a unit obtained by the ratio of input and output used to see the amount of weight of each unit when there is a process of comparison (benchmarking). Adapaun data used in this study are primary data derived from Bank BRI branch office unit that Meulaboh Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar in the form of annual financial reports for two years (2014 and 2015). For the study variables divided into two input variables consisting of the number of employees, the number of deposits, the number of customers and the amount of operating costs (BOP) while the output variable is the number of loans and total income (revenue). By using the DEA method can know the amount of the value of the relative efficiency of the three units of Bank BRI branch offices in Meulaboh, for the year 2014 Cut Nyak Dien office units, office units and office units Johan Pahlawan Teuku Umar obtain efficient relative value = 1, which means efficient. Whereas in 2015 the office unit Johan Pahlawan obtain the relative efficiency value = 0.81, which means less efficient. In order to achieve the level of efficiency relative = 1, then the office of Johan Pahlawan unit should increase the number of variables output by 41.18%. where an increase in the output variable Johan Pahlawan office unit for the amount of credit granted is Rp. 910 515 743 and for the income (revenue) amounting to Rp. 2738029201.Keywords : Bank Performance, Data Envelopment Analysis (DEA), relative efisiensi.

scholarly journals Non-financial Reporting of Corporations – a Czech Case Study

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Financial Reporting ◽  
Financial Analysis ◽  
Quality Of Reporting ◽  
Financial Reports ◽  
Performance Report ◽  
Quality Of Reports ◽  
New Form ◽  
High Degree

Although reporting on the responsibility and beneficial effect of a corporation is becoming standard practice, it is traditionally considered as part of the annual financial performance report in the Czech region. A change to the new form and content was to be ensured by an amendment to the legislation with effect from 1 January 2017. The perception of new approaches has not been investigated or published to date so the aim of the research was to ascertain how the new quality of reporting is applied in Czech corporations. Data for empirical research was excerpted from reports published by large public interest entities in 2018. To verify the generally perceived assumption of a positive correlation between the size of corporations and the quality of their reports, or more precisely between the quality of reports and the satisfaction of users' needs, the methods of quantitative and qualitative financial analysis were applied. The analyzes have yielded comparable results to global developments in the publication of non-financial information in terms of form and content. Lower representation has been reported in the fight against corruption and environmental protection. The model for measuring the quality of non-financial reports based on a point score confirmed a higher medium to high degree of quality.

Beyond Financial Reporting. Integrated Reporting and its determinants: Evidence from the context of European state-owned enterprises

2019 ◽  
pp. 43-72
Author(s):  
Giuseppe Nicolò ◽  
Gianluca Zanellato ◽  
Francesca Manes-Rossi ◽  
Adriana Tiron-Tudor
Keyword(s):  
Financial Reporting ◽  
Empirical Investigation ◽  
Gender Diversity ◽  
Accounting Standards ◽  
International Accounting Standards ◽  
Integrated Reporting ◽  
Financial Reports ◽  
The Public ◽  
Explanatory Factors ◽  
Board Gender Diversity

Integrated reporting (IR), which aims to overcome the limitations of both tradi-tional financial and stand-alone non-financial reports, has gained momentum as a single comprehensive tool merging financial and non-financial information. Initially conceived for private sector entities, IR is also establishing itself in the public sector context as a vehicle for transparency and accountability. This research offers an empirical investigation of IR practices in the State-Owned Enterprises (SOEs) context. More specifically, the paper investigates the levels of disclosure provided through IR by a sample of 34 European SOEs and explores the effects of potential explanatory factors. The results indicate a fair level of IR disclosure and a trend of reporting information already requested under international accounting standards. The findings also highlight that industry (basic materials and financials) and size positively influence the level of IR disclosure in a particularly strong way, while governance features (board size and board gender diversity) and the provision of external assurance do not exert any impact.

Evaluating the security of the fiscal and budgetary system of the Kemerovo Oblast

2020 ◽  
Vol 16 (5) ◽  
pp. 966-979
Author(s):  
O.B. Sheveleva ◽  
E.V. Slesarenko
Keyword(s):  
Socioeconomic Development ◽  
Critical Value ◽  
Economic Security ◽  
Energy Market ◽  
High Tech ◽  
Regional Competitiveness ◽  
Kemerovo Oblast ◽  
Manufacturing Sectors ◽  
Fiscal System ◽  
Integral Indicator

Subject. The article deals with the security of the fiscal and budgetary system in resource-based regions during highly volatile prices in the global energy market external economic, political, technological and epidemiological shocks. Objectives. The study is to detect hazards in the fiscal and budgetary system of resource-based regions. Such hazards really put the regional competitiveness and economic security at peril. Methods. The article evaluates the security of the fiscal system in the Kemerovo Oblast through the integral indicator and the threshold (critical) value. Results. We found key threats to the fiscal and budgetary system of the Kemerovo Oblast, which undermine the regional competitiveness and economic security. Conclusions and Relevance. Authorities shall comprehensively attempt to create the environment for developing manufacturing sectors in the region, especially science-intensive and high-tech production enterprises by alleviating infrastructure and administrative constraints for business, raising the finance of science and innovation from the State and mobilize investors' resources, lure them to finance prioritized lines of the regional economic development. The findings and conclusions can be used to outline principles of the region's economic policy, socioeconomic development strategies of the region economy.

A FUZZY EXPERT SYSTEM FOR SOLVING REAL-OPTION DECISION PROCESSES

2001 ◽  
Vol 06 (02) ◽  
Author(s):  
C.A Magni ◽  
G. Mastroleo ◽  
G. Facchinetti
Keyword(s):  
Expert System ◽  
Real Option ◽  
Decision Processes ◽  
Fuzzy Expert System
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