Intelligent hybrid systems are an important method for modeling dynamic networks and complex biological processes with linguistic or qualitative-logical data, while allowing for more accurate models as more data becomes available.
This process involves a number of subjective uncertainties stemming from: (a) qualitative (linguistic) criteria; (b) sharp class boundaries; (c) fixed rating (or weight) scales; and (d) variable input reliability.
All those variables are expressed in the form of qualitative linguistic categories and relations between them are presented using expert based engineering knowledge, expressed in the form of appropriate set of rules.
A qualitative linguistic analysis based on Chomsky's model of transformational grammar [ 50, 51] was also implemented.
Subsequent to the information from the literature review having been transferred to the FCM, the resulting map contained the concepts, the antecedent - consequent relationships indicated via edges, the weight value of each edge (five qualitative, linguistic terms - VL, L, M, H, VH), and the sign value showing the type of the influence (+ or −).
The linguistic assessments for the qualitative attributes were provided by nine local experts from governmental ministries (environmental division) and academic institutions (professors and graduate students at Memorial University of Newfoundland).
For this purpose, an equity matrix is constructed, whose elements represent, in a qualitative way (linguistic expressions), the judgments of stakeholders' groups in respect of alternative scenarios (i.e. different prioritization for each specific group according to own interests).
Qualitative and linguistic analysis was conducted utilizing a mix of analytical methods including "constant comparison" [ 31].
In the subsequent qualitative analysis, linguistic validation teams, consisting of the original translators, back translator, project manager, interviewer, and survey research expert, evaluated the debriefing results.
Because of the application of fuzzy set theory, the multicriteria approach supports quantitative criteria with a physical background as well as qualitative criteria by linguistic variables.
Automated negotiation on qualitative issues taking linguistic values poses the challenge of computation of their offer values while generating proposals/counter-proposals.
