Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments

Vytautas Petrauskas; Raimundas Jasinevicius; Egidijus Kazanavicius; Zygimantas Meskauskas

doi:doi:10.11648/j.mcs.20200502.11

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Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments

Vytautas Petrauskas, Raimundas Jasinevicius, Egidijus Kazanavicius, Zygimantas Meskauskas

Published in Mathematics and Computer Science (Volume 5, Issue 2)

Received: 13 March 2020 Accepted: 30 March 2020 Published: 7 April 2020

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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.

Published in	Mathematics and Computer Science (Volume 5, Issue 2)
DOI	10.11648/j.mcs.20200502.11
Page(s)	42-55
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

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

References

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[3]	R. Jasinevicius, V. Petrauskas, On fundamentals of global systems control science (GSCS), in: A. Sanayei, I. Zelinka, O. Rössler (Eds.) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol. 8, pp. 77–87, Springer, Berlin, Heidelberg, 2014.
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APA Style

Vytautas Petrauskas, Raimundas Jasinevicius, Egidijus Kazanavicius, Zygimantas Meskauskas. (2020). Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments. Mathematics and Computer Science, 5(2), 42-55. https://doi.org/10.11648/j.mcs.20200502.11

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ACS Style

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. Math. Comput. Sci. 2020, 5(2), 42-55. doi: 10.11648/j.mcs.20200502.11

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AMA Style

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. Math Comput Sci. 2020;5(2):42-55. doi: 10.11648/j.mcs.20200502.11

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@article{10.11648/j.mcs.20200502.11,
  author = {Vytautas Petrauskas and Raimundas Jasinevicius and Egidijus Kazanavicius and Zygimantas Meskauskas},
  title = {Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments},
  journal = {Mathematics and Computer Science},
  volume = {5},
  number = {2},
  pages = {42-55},
  doi = {10.11648/j.mcs.20200502.11},
  url = {https://doi.org/10.11648/j.mcs.20200502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20200502.11},
  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.},
 year = {2020}
}

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TY  - JOUR
T1  - Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments
AU  - Vytautas Petrauskas
AU  - Raimundas Jasinevicius
AU  - Egidijus Kazanavicius
AU  - Zygimantas Meskauskas
Y1  - 2020/04/07
PY  - 2020
N1  - https://doi.org/10.11648/j.mcs.20200502.11
DO  - 10.11648/j.mcs.20200502.11
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 42
EP  - 55
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20200502.11
AB  - 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.
VL  - 5
IS  - 2
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Author Information

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

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APA Style

Vytautas Petrauskas, Raimundas Jasinevicius, Egidijus Kazanavicius, Zygimantas Meskauskas. (2020). Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments. Mathematics and Computer Science, 5(2), 42-55. https://doi.org/10.11648/j.mcs.20200502.11

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ACS Style

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. Math. Comput. Sci. 2020, 5(2), 42-55. doi: 10.11648/j.mcs.20200502.11

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AMA Style

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. Math Comput Sci. 2020;5(2):42-55. doi: 10.11648/j.mcs.20200502.11

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@article{10.11648/j.mcs.20200502.11,
  author = {Vytautas Petrauskas and Raimundas Jasinevicius and Egidijus Kazanavicius and Zygimantas Meskauskas},
  title = {Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments},
  journal = {Mathematics and Computer Science},
  volume = {5},
  number = {2},
  pages = {42-55},
  doi = {10.11648/j.mcs.20200502.11},
  url = {https://doi.org/10.11648/j.mcs.20200502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20200502.11},
  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.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Concept of a System Using a Dynamic SWOT Analysis Network for Fuzzy Control of Risk in Complex Environments
AU  - Vytautas Petrauskas
AU  - Raimundas Jasinevicius
AU  - Egidijus Kazanavicius
AU  - Zygimantas Meskauskas
Y1  - 2020/04/07
PY  - 2020
N1  - https://doi.org/10.11648/j.mcs.20200502.11
DO  - 10.11648/j.mcs.20200502.11
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 42
EP  - 55
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20200502.11
AB  - 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.
VL  - 5
IS  - 2
ER  -

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