Real-world information is imperfect and is usually described in natural language (NL).
Moreover, this information is often partially reliable and a degree of reliability is also …

Overlap and grouping functions are special kinds of non-necessarily associative
aggregation operators recently proposed for applications in classification problems involving …

Fuzzy implications are a generalization of the classical two-valued implication to the multi-
valued setting. They play a very important role both in the theory and applications, as can be …

Real-world decision problems in decision analysis, system analysis, economics, ecology,
and other fields are characterized by fuzziness and partial reliability of relevant information …

Admissible orders have brought the structure of chains in the framework of interval-valued
fuzzy sets. However, a deeper study of functions monotone with respect to admissible orders …

The majority of the existing decision theories, starting from von Neumann and Morgenstern
Expected Utility theory, are based on sound mathematical background and yielded good …

Uncertain computation is a system of computation and reasoning in which the objects of
computation are not values of variables but restrictions on values of variables. This …

The aim of this work is to study the IA fuzzy implication obtained by composition of an
aggregation function A and a family I of fuzzy implications. Thus, it discusses under which …

For a t-norm T on [0, 1], a partial order⪯ T was recently defined and studied. In this study, for
any fixed c∈(0, 1), we define the set of incomparable elements according to⪯ T and this set …

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 …