Volume 5, Issue 2, March 2020, Page: 42-55
Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments
Vytautas Petrauskas, Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania
Raimundas Jasinevicius, Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania
Egidijus Kazanavicius, Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania
Zygimantas Meskauskas, Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania
Received: Mar. 13, 2020;       Accepted: Mar. 30, 2020;       Published: Apr. 7, 2020
DOI: 10.11648/j.mcs.20200502.11      View  205      Downloads  162
Abstract
The paper advocates a new concept for risk control that makes up one organic closed loop feedback system, with the following stages: 1) the evaluation of the positive and negative features of situation under investigation through strengths, weaknesses, opportunities, and threats (SWOT) analysis, 2) the determination of the level of fuzzy risk concealed in this situation (using RISK evaluation), and 3) the proposal of leverage, recommendations, or actions (through LEVERAGE aggregation) enabling the improvement of target performance. Useful fundamental approaches, definitions, and particularities of this concept concerning SWOT, RISK and LEVERAGES are examined, and for the first time the network type called here the fuzzy SWOT map (FSM) is introduced. This newly proposed instrument appeared as a result of a natural extension of fuzzy cognitive maps paradigm enhanced by dynamic computing with words (CWW) elements and possibilities to use the explainable artificial intelligence (XAI) in the form of fuzzy inference rules. The concept serves for development of functional organization of control systems of complex and dynamically interacting projects or situations and for implementation of adequate set of tools satisfying the concrete system’s requirements. The results of conceptual modeling and the confirmation of the vitality of the approach are presented based on the simplified example of a risk-control system case covering three interacting projects in a complex environment of city development.
Keywords
Complex Systems Science, Dynamic SWOT Analysis, SWOT Engines Networking, Fuzzy SWOT Maps, CWW (Computing with Words), Risk Definition, Fuzzy Risk Evaluation Paradigm, Fuzzy Control System, Conceptual Modeling
To cite this article
Vytautas Petrauskas, Raimundas Jasinevicius, Egidijus Kazanavicius, Zygimantas Meskauskas, Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments, Mathematics and Computer Science. Vol. 5, No. 2, 2020, pp. 42-55. doi: 10.11648/j.mcs.20200502.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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