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.

本文介绍了单词计算（CWW）范例的“建模”方面。目的是提供对由线性形容词和语言对冲组成的短语进行模糊建模的计算。鉴于语言对冲对线性形容词的Type-2表示的影响，尤其是最近在文献中报道的Linear General Type-2（LGT2）表示形式，研究进行了新颖的研究。因此，本文有助于概述短语的一般Type-2表示形式，例如非常高，或多或少短特别是，该研究在将隶属函数分配给用于复杂CWW问题的复杂模糊逻辑系统中的语言标签中具有应用价值。对所进行的研究进行的实施报告结果与语言对冲所造成的影响相吻合。