SPRAY PAINTING ROBOT - PG Embedded systems
... computer system that exhibit some form of intelligence. The system that learn new
concepts and tasks, system that reason and draw useful conclusion about the world
Some Applications of Fuzzy Logic in Data Mining and Information
... information retrieval, the mining results must be easily understandable by a user in the case of data
mining or knowledge discovery. Fuzzy logic provides an interesting tool for such tasks, mainly because
of its capability to represent imperfect information, for instance by means of imprecise catego ...
Extending Fuzzy Description Logics with a Possibilistic Layer
... Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages.
Nevertheless, it has been widely pointed out that classical ontologies are not
appropriate to deal with imprecise, vague and uncertain knowledge, ...
History of AI
... 1965 - Fuzzy Logic
Fuzzy Logic is a departure from classical two-valued logic
(True or False)
It is a multi-valued logic that allows intermediate values to
be defined between conventional evaluations
Notions like rather warm or pretty cold can be formulated
mathematically and processed by com ...
... What is fuzzy logic?
A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented
with degrees of truthfulness and falsehood. For example, the statement, today is sunny,might be 100% true if there are
no clouds, 80% true if there are a few ...
... This course will focus on introducing
the intelligent system technologies.
The students are expected to learn the
basic modeling techniques and to know
where to apply the knowledge.
The following materials will be covered
in this course:
Sistem Kecerdasan Buatan
... subsequently adapts its behavior to its present environment in order
to better promote its own survival (Atmar)
Artificial Intelligence and Expert Systems (CB711) Lecturer: Dr
... engineering and management. Upon successful completion of the course, you will have an
understanding of the basic areas of artificial intelligence and their applications in design and
implementation of intelligent systems for a variety of tasks in analysis, design, and problemsolving. Graduate stude ...
... Fuzzy Logic
Historical development; classic sets and fuzzy sets
2. Operations with fuzzy sets
Basic fuzzy connectives. The concept of t-norms and t-conorms
Generalized Modus Ponens; fuzzy inference
NEW APROACHES IN ARTIFICIAL INTELLIGENCE: A GENDERED
... perspective to this new approach of Soft Computing and in particular to one of its early areas:
Fuzzy systems. The concept of Fuzzy Set (also Fuzzy Logic) was conceived by Lotfi Zadeh in
1965, and it was defined as a problem-solving and control system methodology which is
empirically-based rather th ...
Computational Intelligence in R
... R has become the de-facto standard for data analysis. Very frequently, in connection with data analysis,
system identification and modeling are required tasks. Effective tools to address these problems are available
from Computational Intelligence (CI). It is a field within the Artificial Intelligen ...
Fundamentals of Computational Intelligence
... good complement for concepts introduced in ECE457A. The course focuses mainly on the use of soft
computing approaches to deal with real world complex systems for which mathematical models may be
hard to obtain because of structural complexities, mathematical intractability and inherent uncertain
... to us and the amount of uncertainty we allow.
4. Sometimes we can obtain a more robust
conclusion by presenting an uncertain
description instead of a precise description. (e.g.,
the description of weather)
A fuzzy concept is a 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 become more precise only through further elaboration and specification, including a closer definition of the context in which the concept is used. A fuzzy concept is understood by scientists as a concept which is ""to an extent applicable"" in a situation, and it therefore implies gradations of meaning. The best known example of a fuzzy concept around the world is an amber traffic light, and indeed fuzzy concepts are nowadays widely used in traffic control systems.The Nordic myth of Loki's wager suggests that concepts which lack a precise meaning or precise boundaries of application cannot be usefully discussed at all. However, the idea of ""fuzzy concepts"" proposes that ""somewhat vague terms"" can be operated with, since we can explicate and define the variability of their application, by assigning numbers to it.