6 edition of Fuzzy Databases found in the catalog.
by IGI Global
Written in English
|The Physical Object|
|Number of Pages||320|
This book, according to the authors, "presents the results of approximately 15 years of work from researchers around the world on the use of fuzzy set theory to represent imprecision in databases". The book consists of six chapters, which divide themselves into three logical parts, which can best be summarized as "Foundations", "Principles" and. An introduction to fuzzy information processing is given, together with an orderly and systematic description of the concepts, significance, progress, methods, hardware, software and applications, such as databases, control, expert systems and fuzzy computers as well as ones that will be developed in the book is an important.
Abstract. This book presents a discussion of the basic theoretical and practical aspects involved in fuzzy database systems. From a practical, hands-on, applications- oriented approach, this book attempts to develop computer models for applications to decision-making processes, introducing the basic notion of relative grades via the fuzzy set theoretic approach. Fuzzy information retrieval One characteristic of this system is the ability to retrieve relevant information from the database at the end of a consultation. This is achieved by the automatic generation of a set of K.S. Leung et al. I A fuzzy expert database system fuzzy database-queries after the system draws a Cited by:
in, for example, fuzzy object-oriented databases come out. To investigate these issues and more importantly serve as identifying the direction of fuzzy database study, this pa-per aims to provide a comprehensive literature overview of fuzzy database models to satisfy the obvious need for an updating. Notice that, however, it does not means that. The book also covers fuzzy relational databases and their calculus, and the fuzzy relational (structured) query language (FSQL). The last sections of the book present methods for treating the incomplete information in fuzzy Prolog database (FPDB) systems.
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Fuzzy Databases: Modeling, Design and Implementation focuses on some semantic aspects which have not been studied in previous works and extends the EER model with fuzzy capabilities. The exposed model is called FuzzyEER model, and some of the studied extensions are: fuzzy attributes, fuzzy aggregations and different aspects on specializations, such as fuzzy degrees, fuzzy constraints, etc.
Fuzzy Databases: Principles and Applications is self-contained providing background material on fuzzy sets and database theory. It is comprehensive covering all of the major approaches and models of fuzzy databases that have been developed including coverage of Author: Frederick E.
Petry. Myszkorowski K Multiargument relationships in fuzzy databases with attributes represented by interval-valued possibility distributions Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing, ().
Fuzzy Databases: Modeling, Design and Implementation also proposes a method to translate FuzzyEER model to a classical DBMS, and defines FSQL (Fuzzy SQL), an extension of the SQL language that allows users to write flexible conditions in queries, using all extensions defined by the FuzzyEER model.
This book, while providing Fuzzy Databases book global and Author: Jose Galindo. The maturity of the research in the discipline and the recent developments in commercial/industrial fuzzy databases provided an opportunity to produce this survey.
In this introduction we will describe briefly how fuzzy databases fit into the overall design of database systems and. What is Fuzzy Database. Definition Fuzzy Databases book Fuzzy Database: If a regular or classical database is a structured collection of information (records or data) stored in a computer, a fuzzy database is a database which is able to deal with uncertain or incomplete information using fuzzy logic.
There are many forms of adding flexibility in fuzzy databases. FUZZY DATABASE LANDSCAPE The last five years have been witness to a revolution in the database research community. The dominant data models have changed and the consensus on what constitutes worthwhile research is in flux.
Also, at this time, it is possible to gain a perspective on what has been accomplished in the area of fuzzy databases. This book, while providing a global and integrated view of fuzzy database constructions, serves as an introduction to fuzzy logic, fuzzy databases and fuzzy modeling in databases.
Fuzzy Classification on Relational Databases: /ch In practice, information systems are based on very large data collections mostly stored in relational databases. As a result of information overload, it hasCited by: Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy volume is the outgrowth of research the author has conducted in recent years.
Fuzzy Database Modeling with XML introduces state of the art information to the database research, while at the same time serving the information technology professional faced.
Fuzzy Databases: Principles and Applications is self-contained, providing background material on fuzzy sets and database theory.
It is comprehensive, covering all of the major approaches and models of fuzzy databases that have been developed, including coverage of. Get this from a library. Fuzzy databases: modeling, design, and implementation.
[Jose Galindo; Angelica Urrutia; Mario Piattini] -- "This book includes an introduction to fuzzy logic, fuzzy databases and an overview of the state of the art in fuzzy modeling in databases"--Provided by publisher.
FUZZY is a very interesting twist on the classic sci-fi plot of sentient robots. It takes place in a near-future where almost everything is automated and in care of robots. Max Zelaster is a middle school student who attends a school that's completely automated under an operating program named Barbara/5.
Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state of the art information to the database research, while at the same time serving the information technology professional faced Brand: Springer US.
Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.
By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Fuzzy databases are called “fuzzy” because their theoretical formalization is based on fuzzy logic (FL) and fuzzy set theory (FST).
The former deal primarily with reasoning that is approximate rather than fixed. That is, in fuzzy logic, there is a gradation of values between something being absolutely false (generally indicated with a value. Get this from a library. Fuzzy databases: principles and applications.
[Fred Petry; Patrick Bosc] -- This volume presents the results of approximately 15 years of work from researchers around the world on the use of fuzzy set theory to represent imprecision in databases. The maturity of the research.
Little Fuzzy is a science fiction novel by H. Beam Piper, now in public was nominated for the Hugo Award for Best Novel. The story revolves around determining whether a small furry species discovered on the planet Zarathustra is sapient, and features a mild libertarianism that emphasizes sincerity and honesty.
The book was followed by a sequel, Fuzzy Sapiens (original Author: H. Beam Piper. Fuzzy Relational Databases Fuzzy Queries in Crisp Databases 13 Fuzzy Data Analysis Introduction Methods for Fuzzy Data Analysis Algorithmic Approaches Knowledge-Based Approaches Neural Net Approaches Dynamic Fuzzy Data Analysis Problem Description This book presents the importance of temporal logic in developing temporal database models and also indicates the important concepts in designing such systems.
The book further investigates the representation of fuzzy data in the relational database environment and summarizes the important contributions in the field of temporal and fuzzy databases. Fuzzy Databases – Monograph – research on possibilities to use fuzzy logic with databases, since The main purpose of this book is to round up all results obtained in.
Fuzzy Databases by Frederick E. Petry,available at Book Depository with free delivery worldwide.3/5(1).This book provides insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world.
Clear example and discussions simplify the process of implementing fuzzy logic and neural network concepts using Python.