scholarly journals Ontology-Based Risk Knowledge Construction for Integrated Pipeline Corridors

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bao-Jiang Han
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Construction Management ◽  
Knowledge Construction ◽  
Response Strategy ◽  
Construction Process ◽  
Definition Of ◽  
Risk Knowledge ◽  
Different Levels

In the construction process of different integrated pipe corridors, there exist a large number of similar and reusable risk analysis results. In order to improve the efficiency of risk analysis and the efficiency of dealing with accidents in the process of construction management of integrated pipeline corridors and systematize the fragmented risk analysis knowledge, this paper will build ontology-based knowledge for risk response in integrated pipeline corridors. This ontology knowledge base can not only standardize and informatize knowledge through the definition of knowledge attributes and classification of knowledge, which can help reuse risk management metaknowledge at different levels and greatly improve the efficiency of risk management, but also reason out the risk-causing mechanism and response strategy of new integrated pipeline corridor risk through the similarity between risks and the correlation between risk-causing factors, so as to realize the repeated application of risk knowledge.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

Risk Management in Quality Management System: Economic Content and Classification of Risks

2017 ◽  
Vol 2017 (6) ◽  
pp. 143-167
Author(s):  
Tatyana Sviyazova
Keyword(s):  
Risk Management ◽  
Quality Management ◽  
Management System ◽  
Quality Management System ◽  
International Standards ◽  
Enterprise Management ◽  
Enterprise Management System ◽  
The One ◽  
Definition Of

The paper aims to study the nature of risk management in the context of quality management system. Through historical and logical methods of research, we analyze the stages of formation and development of ideas about risk and its impact to economic activity. We consider different definitions of risks that were formulated by economists and presented in international standards, and analyze key moments which characterize the economic content of risk. Based on the considered approaches we propose the author’s definition of risk. Further, attention is paid to different risk classifications, and we analyze most known approaches to risk classification. As an alternative approach, we propose an authorial classification of risks based on key processes of the organization’s quality management system. The consideration of risks by the quality management allows, on the one hand, to integrate risk management into the existing enterprise management system, on the other hand, to react more effectively to possible changes and to use a unified management mechanism. The results of the research can be applied in practice to improve the quality management system of organizations in various business areas and to form a risk management system within the organization.

Probabilistic Risk Analysis for Highway Construction Management

2014 ◽  
Vol 584-586 ◽  
pp. 2363-2367
Author(s):  
Zeng Zhong Wang ◽  
Bin Shi
Keyword(s):  
Monte Carlo Simulation ◽  
Risk Management ◽  
Monte Carlo ◽  
Risk Analysis ◽  
Construction Management ◽  
Management Practices ◽  
Highway Construction ◽  
Computational Method ◽  
Probabilistic Risk Analysis ◽  
Probabilistic Risk

Construction management is the totality of activities that address the managerial and technological aspects of highway construction, conducted during the planning, design, construction, and post-construction phases of the project, for the purpose of achieving scope, quality level, cost, schedule and other project performance objectives. The ability to better understand potential risks and how to manage those yields benefits far in excess of the costs of adopting risk management practices. In this paper, the most common set of processes including risk identification, assessment, analysis, mitigation, allocation, monitoring and updating are discussed, and the relationship between the computational method (the model) and its required inputs and available outputs is illustrated. The methodology and systematic process of probabilistic risk analysis, Monte Carlo simulation methods is conducted, and a comprehensive case study of probabilistic risk analysis for a highway construction management is given out, in which the sensitivity analysis and other output from the simulation model are illustrated to support the risk management plan. It is obviously that the probabilistic risk analysis of Monte Carlo simulation could provide very important information for a decision maker.

scholarly journals Alternative approach to analysis of risks affecting the efficiency of implementing the investment project in the conditions of global instability of economic space

2020 ◽  
Vol 74 ◽  
pp. 06009
Author(s):  
Liana M. Chechenova ◽  
Natalia V. Volykhina ◽  
Yuriy V. Egorov
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Investment Project ◽  
Management Decision ◽  
Global Instability ◽  
Random Factor ◽  
Economic Space ◽  
Investment Projects ◽  
Expert Assessments

This article is devoted to the study of improving the use of expert assessments for risk analysis, affecting the effectiveness of the implementation of a comprehensive investment project in the global instability of the economic space. The existing methods of expert assessments and Monte-Carlo simulation methods used to identify and assess the risks of investment projects are described. A systematic analysis of the main risks of investment projects in the context of globalization and risk management methods was carried out. The author’s classification of risks of investment projects using the criteria of economic efficiency has been developed. An approach to risk analysis, affecting the effectiveness of the implementation of complex investment projects based on existing methods using the concept of the “reduced” random factor, is proposed. This approach is used to analyse project implementation risks in the conditions of market instability with the development of recommendations for managing the main project risks. The author’s risk classification of investment projects is important at the stage of analysing risks arising from the study of sales markets, as well as during the management decision-making process, which minimizes the possible adverse impact on an organization, including losses caused by random events. The proposed approach can be applied to the analysis, express-analysis and risk management of long-term complex investment projects in the conditions of global instability of the economic space.

STAKEHOLDERS’ RISK ASSESSMENT OF THE INVESTMENT CONSTRUCTION PROJECT

2018 ◽  
pp. 143-148
Author(s):  
Sergey Kolankov ◽  
Nadezhda Rubtsova
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Construction Projects ◽  
Practical Importance ◽  
Business Development ◽  
Risk Characteristics ◽  
Individual Project ◽  
Iso 31000 ◽  
The Given

Objective: To consider the risks both from the viewpoint of potential losses and implementation of extra opportunities. To analyze the aims of investment construction projects being one of the vital risk characteristics, State Standard R ISO 31000–2010. Risk management. Foundations and management. To state the main principles of risk analysis, as well as to perform the assessment of parties of the given process: proprietors (users for the purpose of one’s own requirements), investors, lessees, developers, professional (trust) managers. Methods: The methods of generalization, comparison and economic analysis were applied. Results: The notion of risks, as well as the concepts of risks, connected with a person’s wish to avoid the loss and acquire additional opportunities, was defined; investment construction projects, as well as the notion of “uncertainty” and the process of risk management were described. The classification of risks, their description by the main stakeholders of the investment construction projects was given. Practical importance: The conclusion was made on the appropriateness of detecting possible sources of business development during risk analysis, as well as running investment construction projects, personalization of risks for individual project stakeholders, expert judgement concept of obtained information feasibility on the extent of risk.

scholarly journals MODERN METHODS AND MODELS OF THE RISK MANAGEMENT SYSTEM WITH CONSIDERING TO THE SPECIFICITY OF INDUSTRIAL ENTERPRISES

2021 ◽  
pp. 69-79
Author(s):  
И.Ю. Пищалкина ◽  
С.Б. Сулоева
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Business Community ◽  
Qualitative And Quantitative ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Analysis And Synthesis ◽  
Risk Managers ◽  
Practical Recommendations

Введение. Статья посвящена наиболее эффективным методам и моделям качественной и количественной оценки рисков, применяемых на промышленных предприятиях. Анализируются преимущества и недостатки подходов. Актуальность работы обусловлена активным смещением фокуса бизнес сообщества и менеджмента компаний на вопросы управления рисками. В текущих реалиях риск-менеджерам следует расширить перечень используемых инструментов для обеспечения стабильного развития предприятий с учетом факторов риска. Данные и методы. В статье рассмотрены фундаментальные теоретические положения, изложенные в зарубежных и отечественных источниках. В процессе исследования были применены методы анализа и синтеза данных, системный подход, обобщение и группировка, а также собственный опыт автора. Полученные результаты. Исследованы существующие качественные и количественные подходы, применяемые в целях риск-анализа, и предложена модифицированная классификация этих подходов. Определены критерии выбора методов анализа рисков в рамках цикла управления рисками на промышленном предприятии. Разработаны практические рекомендации по применению инструментов риск-менеджмента с учетом особенностей этапов управления: от идентификации рисков до мониторинга риск-событий и ликвидации последствий. Заключение. Выводы, полученные в результате исследования, могут быть использованы в качестве теоретической основы для проведения риск-сессий на промышленных предприятиях и комплексной оценки рисков. Introduction. The paper is devoted to the most effective methods and models of qualitative and quantitative risk analysis used at industrial enterprises. The advantages and disadvantages of the approaches are analyzed. The relevance of the paper is due to the active shift in the focus of the business community and top-management towards to the risk management aspects. In the current realities, risk managers should expand the applied list of tools to ensure stable development of enterprises, with considering to the risk factors. Data and methods. The article deals with the fundamental theoretical provisions, presented in foreign and domestic scientific sources. In the researching process, we applied the methods of data analysis and synthesis, a systematic approach, generalization and grouping and the author's own experience. Results Obtained. The existing qualitative and quantitative approaches used for the purposes of risk analysis was investigated and a modified classification of these approaches is proposed. We determined the criteria for choosing methods of risk analysis within the risk management cycle at the industrial enterprise. We have worked out practical recommendations for applying the tools of risk management, in accordance to features of management stages: from identification of risks to monitoring risk events and mitigating consequences. Conclusion. The research results can be used as a theoretical basis for leading risk sessions at industrial enterprises and for a comprehensive risk evaluation

scholarly journals REGIONAL APPROACH TO INFRASTRUCTURE CLASSIFICATION

2021 ◽  
pp. 18-27
Author(s):  
S.V. Avilkina ◽  
Keyword(s):  
Higher Education ◽  
Regional Economy ◽  
Russian Regions ◽  
Educational Infrastructure ◽  
Regional Approach ◽  
Hierarchical Structuring ◽  
The Russian Federation ◽  
Definition Of ◽  
Different Levels

The relevance of studying the issues of infrastructure classification is due to the problems of regional asymmetry of Russian regions and the need to assess their infrastructural potential, identify infrastructural facilities that meet the needs of organizations of both the region and territorial entities of different levels. In connection with the processes of changing technological structures, the intellectualization of the economy, the formation of approaches to assessing the educational and scientific and educational infrastructure of the region becomes relevant. The purpose of the article is to describe the regional approach to the classification of infrastructure, as well as to substantiate the influence of educational infrastructure on the development of the economy. The analysis of existing approaches to the definition of the concept of «infrastructure» and its classification is applied. The proposed classification is based on the idea of structuring the infrastructure in accordance with the requests of researchers of the regional economy and the needs arising at different levels of state and corporate governance. As a result of the study, a regional approach to the classification of infrastructure objects was proposed. The advantages of this approach are described. A hierarchical structuring of infrastructural potential based on the identification of different regional levels is proposed. Based on the application of the stakeholder approach with identifying the list of users of the infrastructure object, the following types of regions were identified: «regions — infrastructure donors» and «regions — infrastructure recipients». The argumentation of the thesis «educational infrastructure is an industrial infrastructure» is given, which is based on the analysis of indicators included in the methods of assessing the innovative development of the economy; analysis of the parameters used by the Ministry of Economic Development of Russia for forecasting the rate of economic growth; analysis of the potential of higher education as an important element in the development of the knowledge economy. The approaches of researchers to the concept of «scientific and educational infrastructure» are analyzed and the author’s approach to the analysis of the regional potential of scientific and educational infrastructure as an element of the industrial infrastructure of a constituent entity of the Russian Federation is proposed. The materials of the article can be used by researchers of regional development problems, heads of organizations and government bodies for structuring infrastructure facilities in the region, identifying the infrastructural potential of individual facilities, highlighting objects of scientific and educational infrastructure. Key words: regional economy, classification of infrastructure, higher education, infrastructure potential of the territory, scientific and educational infrastructure.

scholarly journals Definition of the overall udder score for the Czech Fleckvieh Cattle

2010 ◽  
Vol 58 (4) ◽  
pp. 141-148 ◽  
Author(s):  
Josef Kučera ◽  
Tomáš Kopec ◽  
Tao Yong ◽  
Oto Hanuš ◽  
Jaroslav Kopecký
Keyword(s):  
Current System ◽  
Linear Type ◽  
Breeding Values ◽  
Type Traits ◽  
Estimated Breeding Values ◽  
Score Model ◽  
Definition Of ◽  
Type Classification ◽  
Different Levels

Based on the linear type classification of 49 246 young cows of the Czech Fleckvieh breed the overall udder score was proposed. Calculation of the overall udder score is derived from the particular type traits, especially from those traits, where the optimal development is not scored by maximum. Cubic regression coefficients were used for recalculation and obtained a new scale for traits such as udder depth, teat length, teat thickness, teat position and teat placement. These re-calculated traits together with other particular traits described on the udder were combined to the model for overall udder score – model 1. In the model 2 the same proportion of the particular traits was used with restriction by extreme development of the udder dept, where two different levels of penalization (−3 and −6 points) were used. Both models were compared with the current used system, where the x = 77.1, s = 5.22; for model 1 x = 84.94 (s = 2.65); for model 2 x = 84.40, s = 2.74. In both proposed models the distribution of the overall score for udder showed significantly smooth distribution, than in current system.The coefficient of correlation between current system and new proposals reached r = 0.799. Estimated breeding values for new models decreased from x = 0.199, s = 0.946 by the current used system, to x = 0.087 for model 1, x = 0.089 for model 2 respectively. Also the variability of the breeding values decreased. Estimated coefficients of heritability also decreased from 0.22 by the current system to 0.15 by the model 1 and 0.15 by the model 2, respectively.

scholarly journals FACTOR OF DELEGITIMIZATION IN THE PROCESS OF DESTABILIZATION OF THE POLITICAL REGIME

2020 ◽  
Keyword(s):  
Political Institutions ◽  
Political Regime ◽  
The Political ◽  
Number Of Factors ◽  
New Institutions ◽  
Definition Of ◽  
Democratic Transformation ◽  
Institutional Space ◽  
Different Levels

The factors of legitimation and delegitimization of power in the context of the functioning of transitional states are considered and analyzed. The peculiarity of such states is the problem of consolidation of citizens on the basis of common values, the absence of which gradually leads to the delegitimization of the political regime. Particular attention is paid to classical and modern interpretations of legitimacy and related concepts. An understanding of the definition of «legitimacy» is given as an order in which the power of the rulers and the voluntary subordination of the governed, i.e. free recognition by each member of the legal society. It is established that there are different political institutions with different levels of legitimacy in society. The main factors and phases of legitimacy are analyzed, on the example of Ukraine, allocated factors that lead to the delegitimization of a political regime. The problem of the functioning of the institutional process in the post-Soviet states through the phenomenon of double institutionalization, which is characterized by public consent to the functioning of old and new institutions at the same time, is considered separately. The nature of such a phenomenon, which is characterized by a destructive impact on the democratic transformation of society due to the congestion of the new institutional space, has been established. A number of factors of delegitimization of the political regime are analyzed and the classification of factors into economic, geographical, political. The dependence of different factors on different conditions of power is determined. The peculiarity of the delegitimization process in Ukraine, which is characterized by multifactorial with elements of adaptability, has been established. Based on all the theories presented, it is concluded that legitimacy is not only a set of values, it has both cognitive and normative aspects.

ABOUT THE PROBLEM OF CLASSIFICATION OF THE CONCEPTS OF INFORMATICS STUDIED AT SECONDARY SCHOOL

2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko
Keyword(s):  
Secondary School ◽  
Foreign Language ◽  
Computer Science ◽  
Parts Of Speech ◽  
The Third ◽  
The Cross ◽  
Definition Of

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.

Sign in / Sign up

Export Citation Format

Share Document