Fuzzy logic is an extension of the standard 2-valued logic { with two possible truth values 0 (\false") and (\true") { to values (degrees of certainty) represented by arbitrary numbers from the interval [0; 1]. One of the main challenges in fuzzy logic is that we need to extend the usual logical operations from the set {0; 1} to the entire interval, and there are many possible extensions. One promising technique for selecting a reasonable extension is to take into account that the fuzzy degrees of certainty are themselve
Experts are often not 100% confident in their statements. One of the most widely used approaches to ...
We start by describing the nature of imperfect data, and giving an overview of the various models th...
Many different and - and or -operations have been proposed for use in fuzzy logic; it is therefore...
Fuzzy logic is an extension of the standard 2-valued logic -- with two possible truth values 0 ( fal...
Abstract—In natural language, “or ” sometimes means “inclu-sive or ” and sometimes means “exclusive ...
In natural language, or sometimes means inclusive or and sometimes means exclusive or . To adeq...
As a result of applying fuzzy rules, we get a fuzzy set describing possible control values. In autom...
In many industrial engineering problems, we must select a design, select parameters of a process, or...
AbstractThe past few years have witnessed a rapid growth in the number and variety of applications o...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
It is known that processing of data under general type-1 fuzzy uncertainty can be reduced to the sim...
Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest c...
In this position paper, we argue that when we are looking for the best fuzzy logic, we should specif...
In the traditional (static) fuzzy logic approach, we select an “and”-operation (t-norm) and an “or”-...
Two of the most exemplary capabilities of the human mind are the capability of using perceptions (hu...
Experts are often not 100% confident in their statements. One of the most widely used approaches to ...
We start by describing the nature of imperfect data, and giving an overview of the various models th...
Many different and - and or -operations have been proposed for use in fuzzy logic; it is therefore...
Fuzzy logic is an extension of the standard 2-valued logic -- with two possible truth values 0 ( fal...
Abstract—In natural language, “or ” sometimes means “inclu-sive or ” and sometimes means “exclusive ...
In natural language, or sometimes means inclusive or and sometimes means exclusive or . To adeq...
As a result of applying fuzzy rules, we get a fuzzy set describing possible control values. In autom...
In many industrial engineering problems, we must select a design, select parameters of a process, or...
AbstractThe past few years have witnessed a rapid growth in the number and variety of applications o...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
It is known that processing of data under general type-1 fuzzy uncertainty can be reduced to the sim...
Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest c...
In this position paper, we argue that when we are looking for the best fuzzy logic, we should specif...
In the traditional (static) fuzzy logic approach, we select an “and”-operation (t-norm) and an “or”-...
Two of the most exemplary capabilities of the human mind are the capability of using perceptions (hu...
Experts are often not 100% confident in their statements. One of the most widely used approaches to ...
We start by describing the nature of imperfect data, and giving an overview of the various models th...
Many different and - and or -operations have been proposed for use in fuzzy logic; it is therefore...