Visible to the public XAI-Based Fuzzy SWOT Maps for Analysis of Complex Systems

TitleXAI-Based Fuzzy SWOT Maps for Analysis of Complex Systems
Publication TypeConference Paper
Year of Publication2020
AuthorsMeskauskas, Z., Jasinevicius, R., Kazanavicius, E., Petrauskas, V.
Conference Name2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Date Publishedjul
Keywordsartificial intelligence, Cognition, cognitive systems, complex systems, computing with words, Dynamic SWOT analysis, explainable artificial intelligence, explanation, FCM, Fuzzy cognitive maps, fuzzy set theory, Fuzzy SWOT Maps, fuzzy SWOT maps network structure, Optimized production technology, pubcrawl, Real-time Systems, Resiliency, Scalability, software tool, software tools, SWOT analyses, SWOT+CWW network, xai, XAI-Based system analysis
AbstractThe classical SWOT methodology and many of the tools based on it used so far are very static, used for one stable project and lacking dynamics [1]. This paper proposes the idea of combining several SWOT analyses enriched with computing with words (CWW) paradigm into a single network. In this network, individual analysis of the situation is treated as the node. The whole structure is based on fuzzy cognitive maps (FCM) that have forward and backward chaining, so it is called fuzzy SWOT maps. Fuzzy SWOT maps methodology newly introduces the dynamics that projects are interacting, what exists in a real dynamic environment. The whole fuzzy SWOT maps network structure has explainable artificial intelligence (XAI) traits because each node in this network is a "white box"-all the reasoning chain can be tracked and checked why a particular decision has been made, which increases explainability by being able to check the rules to determine why a particular decision was made or why and how one project affects another. To confirm the vitality of the approach, a case with three interacting projects has been analyzed with a developed prototypical software tool and results are delivered.
Citation Keymeskauskas_xai-based_2020