Herrera and Martínez initiated a 2-tuple fuzzy linguistic representation model for computing
with words. Moreover, Wang and Hao further developed a new 2-tuple fuzzy linguistic …

This article compares three methods [Interval Approach (IA), Enhanced Interval Approach
(EIA) and Hao–Mendel Approach (HMA)] for estimating (synthesizing) an interval type-2 …

In this paper, we provide a new (proportional) 2-tuple fuzzy linguistic representation model
for computing with words (CW), which is based on the concept of" symbolic proportion." This …

This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-
2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). The basic …

The Interval Approach (IA)[4] is a method for synthesizing an interval type-2 fuzzy set (IT2
FS) model for a word from data that are collected from a group of subjects. A key assumption …

When using linguistic approaches to solve decision problems, we need the techniques for
computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models …

Construction of interval type-2 fuzzy set models is the first step in the perceptual computer,
which is an implementation of computing with words. The interval approach (IA) has, so far …

The first step of implementing computing with words using a perceptual computer is to
establish an encoder to transform words into interval type-2 fuzzy sets. In this paper, a novel …

Many real problems dealing with qualitative aspects use linguistic approaches to assess
such aspects. In most of these problems, a uniform and symmetrical distribution of the …

When constructing the model of a word by collecting interval-valued data from a group of
individuals, both interpersonal and intrapersonal uncertainties coexist. Similar to the interval …