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عنوان
Fuzzy Relational Systems

پدید آورنده
by Radim Bělohlávek.

موضوع
Artificial intelligence.,Data structures (Computer science).,Logic, Symbolic and mathematical.,Mathematics.,Systems theory.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781461351689
(Number (ISBN
9781461506331

NATIONAL BIBLIOGRAPHY NUMBER

Number
b403131

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Fuzzy Relational Systems
General Material Designation
[Book]
Other Title Information
Foundations and Principles /
First Statement of Responsibility
by Radim Bělohlávek.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boston, MA :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
2002.

SERIES

Series Title
International Federation for Systems Research International Series on Systems Science and Engineering,
Volume Designation
20
ISSN of Series
1574-0463 ;

CONTENTS NOTE

Text of Note
1. Preliminaries -- 1.1 Sets, relations, mappings -- 1.2 Ordered sets, lattices -- 1.3 Tolerances, equivalences -- 1.4 Algebras -- 2. Fuzzy Approach, Graded Truth, and Structures of Truth Values -- 2.1 Fuzzy approach: from resolving paradoxes to engineering applications -- 2.2 Graded truth and structures of truth values -- 2.3 Residuated lattices -- 2.4 Residuated lattices and t-norms -- 2.5 Bibliographical remarks -- 3. Fuzzy Structures -- 3.1 Fuzzy sets and fuzzy relations -- 3.2 Fuzzy logic: syntax and semantics -- 3.3 Similarity issues -- 3.4 Morphisms, products, substructures -- 3.5 Representation by crisp structures: cutlike semantics -- 3.6 Algebras with fuzzy equalities -- 3.7 Many-sorted case -- 3.8 Bibliographical remarks -- 4. Binary Fuzzy Relations -- 4.1 Operations and properties of binary fuzzy relations -- 4.2 Similarity: fuzzy equivalences -- 4.3 Hierarchy: fuzzy order -- 4.4 Bibliographical remarks -- 5. Object-Attribute Fuzzy Relations and Fuzzy Concept Lattices -- 5.1 Conceptual granulation: fuzzy context, fuzzy concepts, and fuzzy concept lattice -- 5.2 Similarity and logical precision -- 5.3 Fuzzy Galois connections -- 5.4 Main theorem of fuzzy concept lattices -- 5.5 Bibliographical remarks -- 6. Composition and Decomposition of Fuzzy Relations -- 6.1 Composition of fuzzy relations -- 6.2 Decomposition: fuzzy relational equations -- 6.3 Bibliographical remarks -- 7. Miscellanea -- 7.1 Fuzzy closure operators and similarity spaces -- 7.2 Applications of selected results to some problems and models -- 7.3 Fuzzy logic with truth degrees in residuated lattices -- 7.4 Bibliographical remarks -- References.
0

SUMMARY OR ABSTRACT

Text of Note
Since their inception, fuzzy sets and fuzzy logic became popular. The reason is that the very idea of fuzzy sets and fuzzy logic attacks an old tradition in science, namely bivalent (black-or-white, all-or-none) judg ment and reasoning and the thus resulting approach to formation of scientific theories and models of reality. The idea of fuzzy logic, briefly speaking, is just the opposite of this tradition: instead of full truth and falsity, our judgment and reasoning also involve intermediate truth values. Application of this idea to various fields has become known under the term fuzzy approach (or graded truth approach). Both prac tice (many successful engineering applications) and theory (interesting nontrivial contributions and broad interest of mathematicians, logicians, and engineers) have proven the usefulness of fuzzy approach. One of the most successful areas of fuzzy methods is the application of fuzzy relational modeling. Fuzzy relations represent formal means for modeling of rather nontrivial phenomena (reasoning, decision, control, knowledge extraction, systems analysis and design, etc. ) in the pres ence of a particular kind of indeterminacy called vagueness. Models and methods based on fuzzy relations are often described by logical formulas (or by natural language statements that can be translated into logical formulas). Therefore, in order to approach these models and methods in an appropriate formal way, it is desirable to have a general theory of fuzzy relational systems with basic connections to (formal) language which enables us to describe relationships in these systems.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9781461351689

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Artificial intelligence.
Data structures (Computer science).
Logic, Symbolic and mathematical.
Mathematics.
Systems theory.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Bělohlávek, Radim.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190301082400.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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