Hesitant fuzzy linguistic term sets were introduced to grasp the uncertainty existing in human reasoning. In this paper, inspired by absolute order-of-magnitude qualitative reasoning techniques, an extension of the set of hesitant fuzzy linguistic term sets is presented to capture differences between non-compatible preferences. In addition, an order relation and two closed operations over this ...

This paper presents a software tool (Qua.Si. III) for the simulation of continuous dynamical systems whose parameters and/or initial conditions are modelled by fuzzy distributions. The tool, which is the last version of the qualitative simulator Qua.Si. (Bonarini, Bontempi, 1994a), implements a new approach to the numerical integration of fuzzy dynamical systems, where the problem of propagatin...

In this paper is presented a fuzzy PI controller. Fuzzy PI controller and principles their performing is considered in large applications. Based on a qualitative descripion of the system to be controlled, fuzzy controller is capable of good performances when a mathematical description is not available. The PI like controller presented is general and can be applied to any dc to dc power converte...

Qualitative evaluation and comparison of changes of indications of objects having different nature is used by designers, managers, people making decisions (PMD) and experts to make the decisions more reasonable. For suport of such activity on the analysis of changes of data connected with certain dates and time intervals, models of fuzzy time series are applied. In this article a model of fuzzy...

This paper presents new image processing operations based on the Dubois and Prade proposal of a fuzzy triangular norm. This definition is recalled, and a computational efficient algorithm is derived for its fast computation. This procedure also gives a comprehensive model for reasoning about the qualitative effects of the Dubois and Prade fuzzy norm on data. The presented image processing opera...

The degree of vagueness of variables, process description, and automation functions is considered and is shown where quantitative and qualitative knowledge is available for design and information processing within automation systems. Fuzzy-rule-based systems with several levels of rules form the basis for different automation functions. Fuzzy control can be used in many ways, for normal and for...

The publication opportunities in science require knowing the existing gaps academic debate. In recent decades, scholars specializing fuzzy theory and applied methodologies have experienced an unprecedented evolution of field. Sustainable Development Goals (SDGs) shaped way socio-technical transitions use to solve environmental problems. This study conducts a systematic literature review article...

This paper proposes a complexity management methodology for fuzzy systems with feedback rule bases. The methodology is based on formal methods for presentation, manipulation and transformation of fuzzy rule bases. First, Boolean matrices are used for formal presentation of rule bases. Then, binary merging operations are used for formal manipulation of rule bases. Finally, repetitive merging ope...

The contingencies contribute to overloading of network branches and unsatisfactory voltages, which may lead to problems of stability/voltage collapse. The most important task in security analysis is the problem of identifying the critical contingencies from a large list of credible contingencies and rank them according to their severity. This paper presents fuzzy approach for ranking the contin...

In this work, we present an approach to clustering Web site users into different groups and generating common user profiles. These profiles are intended to be used to make recommendations by suggesting interesting links to the user. By using a fuzzy clustering algorithm, we enable generation of overlapping clusters that can capture the uncertainty among Web user’s navigation behavior. Prelimina...