This paper proposes and investigates new possibilities applied to enrich SWOT analysis mechanism using elements of artificial intelligence, and, especially, the computing with words paradigm. This approach is novel due to the originality of the encoding of input words that describe the situation under the investigation in a new functional organization of the SWOT engines, and the originality of the method used for decoding and aggregation of numerical outputs into a verbal form. Promising results of the experimental simulation of the prototype of SWOT+CWW tool are delivered as well.
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