Abstract
This paper addresses the ‘modeling’ aspect of the computing with words (CWW) paradigm. The objective is to offer the computations for fuzzy modeling of phrases consisting of linear adjectives and linguistic hedges. The study conducted is novel in view that the effect of linguistic hedges on the Type-2 representation of the linear adjectives is investigated, particularly the Linear General Type-2 (LGT2) representation reported lately in the literature. Thus, the paper contributes to outline the General Type-2 representation of the phrases such as very tall, more or less short, etc. Particularly, the study finds application in the assignment of membership functions to the linguistic labels in complex fuzzy logic system which serves to complex CWW problems. The implementation carried out for the conducted study reports results that are in agreement with the effect caused by the linguistic hedges.
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