CWW elements to enrich SWOT analysis

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

“…We call these fuzzy SWOT nodes, and the whole network of such nodes is called the fuzzy SWOT map (FSM). Inclusion of verbal SWOT analysis knowledge into the nodes of OFCM as fuzzy SWOT maps (FSMs) [8], and this paper Although in our case, the system is more complex, many properties of transient states, convergences, and stability of the system have the same character as for the appropriate FCM. Using SWOT analysis formulae (2) and the FCM description mechanism from [8] and [14], the mathematical expression of SWOT-engines networking is given as follows:…”

“…All elements of vectors presented are given in numerical form. The evaluation of features of a situation is conducted using the well-known procedure SWOT analysis [8], incorporating a SWOT engine ( Figure 2). In the expressions…”

“…The novelty of our case is its proposal that experts use words from the selected vocabulary for the verbal evaluation of all possible entities during SWOT analysis ( [8]). As far as we know, no other study has included the possibility of a CWW paradigm for SWOT analysis.…”

“…These serve to name fuzzy terms in membership functions, as shown in our previous work [8]. Terms corresponding to the ability of human beings to distinguish and evaluate not more than seven plus or minus two grades of qualitative difference are presented in Figure 3.…”

“…This paper: 1) introduces and expands the dynamic approach to SWOT analysis as it was firstly proposed in [5] and [6], using the mechanism of dynamic fuzzy cognitive maps; 2) introduces the possibility of using quantitative and qualitative input and output data as well as to the verbal SWOT reasoning, using the paradigm of computing with words (CWW) as was firstly proposed for such procedure in [8]; 3) provides SWOT expert teams with the support tools for reasoning and decision making using fuzzy risk analysis, following the risk paradigm presented in [9], which methodologically corresponds to the conclusions provided in [7]. The definition, assessment, and management remains shaky and unfounded in general, so we selected and invented our own metrics for fuzzy risk with the aim of making them useful for decision makers in SWOT analysis.…”