The increasing complexity of real-world problems drives the experts to consider complex
linguistic expressions instead of single linguistic terms to represent their linguistic opinions …

In recent years, several different linguistic computational models for dealing with linguistic
information in processes of computing with words have been proposed. However, until now …

Fuzzy set theory is a generalized form of crisp set theory where elements are binary
inclusion forms. In fuzzy set, it differs with degree of membership for every element in the set …

This paper aims to compile the main results published in the literature on the study of logical
connectives defined on finite chains, as well as to establish relationships between different …

The management of hesitant fuzzy information is a topic of special interest in fuzzy decision
making. In this paper, we focus on the use and properties of the fuzzy linguistic modelling …

One of the main goals of computing with words is the accurate modeling of natural
language. In this direction, Z-numbers were introduced by Zadeh in 2011 as a pair of fuzzy …

In this paper aggregation functions defined on the set of all discrete fuzzy numbers whose
support is a subset of consecutive natural numbers are introduced and the particular cases …

The quality of color image is degraded by the random value impulse noise, which not only
affects the overall visual effect of color image, but also causes errors in the application of …

The linguistic computing model based on discrete fuzzy numbers has some good properties
compared with other existing models and should be further studied, which has been proved …

Abstract Recently, De Miguel, Bustince and De Baets have conducted a systematic study on
convolution lattices based on distributive lattices. There have been few reports on applying …