CWW elements to enrich SWOT analysis

Article type: Research Article

Authors: Petrauskas, Vytautas^{; *} | Jasinevicius, Raimundas | Kazanavicius, Egidijus | Meskauskas, Zygimantas

Affiliations: Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania

Correspondence: [*] Corresponding author. Vytautas Petrauskas, Centre of Real Time Computer Systems, Kaunas University of Technology, K. Barsausko str. 59-A314, 51423 Kaunas, Lithuania. Tel.: +370 610 03933; E-mail: vy.petrauskas@ktu.edu.

Abstract: 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.

Keywords: Computing with words (CWW), SWOT analysis, fuzzy logic, membership functions, verbal information, verbal encoding and decoding, fuzzy reasoning

DOI: 10.3233/JIFS-171280

Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 307-320, 2018