Methodology for Determining the Level of Process Control in Complex Systems Taking into Account Risk-oriented Factors From Safe Time to Pandemics

Research has been conducted on the current problem of developing a methodology for determining the level of process control in complex systems, taking into account risk-oriented factors influencing it For the first time, the study proposes stages of risk management in the process of assessing the level of controllability of complex systems, formalizes the input data used to assess risks using fuzzy models for various complex systems, constructs generalized step-by-step algorithms for risk-oriented assessment of controllability in complex systems An experimental approbation has been made of the research on the problem of determining the level of process control in the airline system, taking into account risk-oriented factors influencing it The study will be a useful tool to support decision-making to improve process control in various complex systems by taking into account the risks and threats to its operation for managers from safe time to pandemics as COVID-19 © 2021 Copyright for this paper by its authors

[1]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[2]  Volodymyr Polishchuk,et al.  Fuzzy Mathematical Modeling Financial Risks , 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

[3]  Yunna Wu,et al.  Risk management of public-private partnership charging infrastructure projects in China based on a three-dimension framework , 2018, Energy.

[4]  Miroslav Kelemen,et al.  A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector , 2019, International journal of environmental research and public health.

[5]  D. Lessard.  Uncertainty and Risk in Global Supply Chains , 2013 .

[7]  M. Sugeno,et al.  Structure identification of fuzzy model , 1988 .

[8]  B. Boehm.  Software risk management: principles and practices , 1991, IEEE Software.

[9]  Albert P. C. Chan,et al.  Evaluation and ranking of risk factors in public-private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach , 2015, Expert Syst. Appl..

[10]  R. Andoga,et al.  Educational Model for Evaluation of Airport NIS Security for Safe and Sustainable Air Transport , 2020 .

[11]  Anna Fabijanska,et al.  Controllability of low-consistency chemical pulp refining process , 2019, Comput. Chem. Eng..

[12]  H. Kikuchi,et al.  Risk Classification , 2019, Gastrointestinal Stromal Tumor.

[13]  Mohamed Noureldin Sayed,et al.  The Moderating Role of Perceived Risks in the Relationship between Financial Knowledge and the Intention to Invest in the Saudi Arabian Stock Market , 2021, International Journal of Financial Studies.

[14]  Xiuyu Wu,et al.  Exploring the Risk Factors of Infrastructure PPP Projects for Sustainable Delivery: A Social Network Perspective , 2020, Sustainability.

[15]  Richard E. Fairley,et al.  Risk management for software projects , 1994, IEEE Software.

[16]  Alejandro Sobrino,et al.  Fuzzy Logic and Education: Teaching the Basics of Fuzzy Logic through an Example (by Way of Cycling) , 2013 .

[17]  Zoran Cekerevac,et al.  Qualitative Approach to Environmental Risk Assessment in Transport , 2020, International journal of environmental research and public health.

[18]  Makarand Hastak,et al.  ICRAM-1: Model for International Construction Risk Assessment , 2000 .

[19]  Ralph L. Kliem,et al.  Reducing Project Risk , 1997 .

[20]  Edwin Lughofer,et al.  Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications , 2011, Studies in Fuzziness and Soft Computing.

[21]  Carlo Combi,et al.  Resource Controllability of Workflows Under Conditional Uncertainty , 2019, Business Process Management Workshops.

[22]  Need for Risk Classification , 2017 .

[23]  Johann Eder,et al.  Controllability of business processes with temporal variables , 2019, SAC.

[24]  K. Crocker,et al.  The theory of risk classification , 2013 .

[25]  Jf Baldwin,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[26]  Robert L. K. Tiong,et al.  NPV-at-Risk Method in Infrastructure Project Investment Evaluation , 2000 .

[27]  Donatella Porrini.  Risk Classification Efficiency and the Insurance Market Regulation , 2015 .