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The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS)-Based Decision Support System (DSS)

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Data Science in Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1084))

Abstract

Decision support systems (DSS) are becoming a very important and widespread element of different fields of contemporary life in the age of explainable artificial intelligence (XAI). All of them somehow elaborate on the well-known procedures of data science transforming the data and/or signals into information, knowledge, and wisdom at last. However, most of the current DSS are limited to a mere finding of the situation, i.e. a kind of diagnostics, and do not have a unified integrated mechanism to offer adequate solutions. The main goal of this work and its novelty as well is to combine system analysis with the proposal of solutions using the latest XAI techniques based on the usage of the generalized approach and the newly developed fuzzy SWOT maps (FSM) method and on the elements of computing with words (CWW) according to the certain vocabulary and the lists of rules (LoR). They must be constructed on the available information base and are not the object of research in this article. The last goal of the article is to offer an approach that allows every phenomenon or system studied, following the philosophy of Hegel's triads, to detect its systematic, methodological and praxiological component, i.e. to form the SMP approach and use it in practice. An example of the case analyzed in the context of the proposed paradigm here was presented the assessment of opportunities and threats of such an entity as a state of Lithuania, to determine the state’s risks and to generate optimal recommendations, actions and leverages for state’s control. This work in general for the first time has demonstrated the vitality and possible efficiency of the paradigm.

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Acknowledgements

The work belongs to the series of promising research works of the Center of Real Time Computer Systems (CRTCS) of the Kaunas University of Technology and for this reason, the authors thank the working group of this Center and its management. In addition, the authors express their deep gratitude for the consultations with the adviser to the President of Lithuania ambassador A. Skaisgiryte, and to the members of the round table discussions of the Lithuanian Ambassadors' Club, led by ambassador A. Rimkūnas.

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Authors and Affiliations

  1. Center of Real Time Computer Systems of Kaunas University of Technology, Kaunas, Lithuania

    Vytautas Petrauskas, Raimundas Jasinevicius, Egidijus Kazanavicius & Zygimantas Meskauskas

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  1. Vytautas Petrauskas
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  2. Raimundas Jasinevicius
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  3. Egidijus Kazanavicius
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  4. Zygimantas Meskauskas
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Correspondence to Vytautas Petrauskas .

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Editors and Affiliations

  1. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  2. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Jolita Bernatavičienė

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Petrauskas, V., Jasinevicius, R., Kazanavicius, E., Meskauskas, Z. (2023). The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS)-Based Decision Support System (DSS). In: Dzemyda, G., Bernatavičienė, J., Kacprzyk, J. (eds) Data Science in Applications. Studies in Computational Intelligence, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-031-24453-7_9

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