applications language - определение. Что такое applications language
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Что (кто) такое applications language - определение

FUZZY CONCEPT
Fuzzy semantics; Fuzzy language; Applications of fuzzy concepts
  • An [[operationalization]] diagram, one method of clarifying fuzzy concepts.

applications language      
Computers and Mathematics with Applications         
JOURNAL
Computers and mathematics with applications; Computers & Mathematics with Applications; Computers & Mathematics (with Applications); Computers and Mathematics (with Applications); Computers & mathematics with applications
Computers and Mathematics with Applications () is a peer-reviewed scientific journal published by Elsevier, covering scholarly research and communications in the area relating to both mathematics and computer science. It includes the more specific subjects of mathematics for computer systems, computing science in mathematics research, and advanced mathematical and computing applications in contemporary scientific fields, such as ecological sciences, large-scale systems sciences and operations research.
applicative language         
Applicative language; Applicative programming; Applicative Programming
<language> A functional language. Sometimes used loosely for any declarative language though logic programming languages are declarative but not applicative. (1995-12-24)

Википедия

Fuzzy concept

A fuzzy concept is a kind of concept of which the boundaries of application can vary considerably according to context or conditions, instead of being fixed once and for all. This means the concept is vague in some way, lacking a fixed, precise meaning, without however being unclear or meaningless altogether. It has a definite meaning, which can be made more precise only through further elaboration and specification - including a closer definition of the context in which the concept is used. The study of the characteristics of fuzzy concepts and fuzzy language is called fuzzy semantics. The inverse of a "fuzzy concept" is a "crisp concept" (i.e. a precise concept).

A fuzzy concept is understood by scientists as a concept which is "to an extent applicable" in a situation. That means the concept has gradations of significance or unsharp (variable) boundaries of application. A fuzzy statement is a statement which is true "to some extent", and that extent can often be represented by a scaled value. The term is also used these days in a more general, popular sense – in contrast to its technical meaning – to refer to a concept which is "rather vague" for any kind of reason.

In the past, the very idea of reasoning with fuzzy concepts faced considerable resistance from academic elites. They did not want to endorse the use of imprecise concepts in research or argumentation. Yet although people might not be aware of it, the use of fuzzy concepts has risen gigantically in all walks of life from the 1970s onward. That is mainly due to advances in electronic engineering, fuzzy mathematics and digital computer programming. The new technology allows very complex inferences about "variations on a theme" to be anticipated and fixed in a program.

New neuro-fuzzy computational methods make it possible to identify, measure and respond to fine gradations of significance with great precision. It means that practically useful concepts can be coded and applied to all kinds of tasks, even if ordinarily these concepts are never precisely defined. Nowadays engineers, statisticians and programmers often represent fuzzy concepts mathematically, using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets.