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25 Remote Warehouse Computers Reference- General

This title in other editions

Other titles in the Intelligent Systems Reference Library series:

Intelligent Systems Reference Library #13: Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type

by

Intelligent Systems Reference Library #13: Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type Cover

 

Synopses & Reviews

Publisher Comments:

Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type. The higher order information granularity is concerned with an effective formation of information granules over the space being originally constructed by information granules of lower order. This construct is directly associated with the concept of hierarchy of systems composed of successive processing layers characterized by the increasing levels of abstraction. This idea of layered, hierarchical realization of models of complex systems has gained a significant level of visibility in fuzzy modeling with the well-established concept of hierarchical fuzzy models where one strives to achieve a sound tradeoff between accuracy and a level of detail captured by the model and its level of interpretability. Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets. Higher order and higher type of information granules constitute the focus of the studies on Granular Computing presented in this study. The book elaborates on sound methodologies of Granular Computing, algorithmic pursuits and an array of diverse applications and case studies in environmental studies, option price forecasting, and power engineering.

Synopsis:

Information granules are conceptual entities that aid the perception of complex phenomena. This book looks at granular computing techniques such as algorithmic pursuits and includes diverse applications and case studies from fields such as power engineering.

Table of Contents

From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order

.-

Product Details

ISBN:
9783642198199
Author:
Pedrycz, Witold
Publisher:
Springer
Author:
Chen, Shyi-Ming
Subject:
Engineering - General
Subject:
Computational intelligence
Subject:
Granular computing
Subject:
Information granules
Subject:
intelligent systems
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computers-Reference - General
Subject:
Artificial Intelligence
Subject:
Informa
Subject:
tion granules
Copyright:
Edition Description:
2011
Series:
Intelligent Systems Reference Library
Series Volume:
13
Publication Date:
20110529
Binding:
HARDCOVER
Language:
English
Pages:
316
Dimensions:
235 x 155 mm 1370 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Engineering » Engineering » General Engineering

Intelligent Systems Reference Library #13: Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type New Hardcover
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$252.95 In Stock
Product details 316 pages Springer - English 9783642198199 Reviews:
"Synopsis" by , Information granules are conceptual entities that aid the perception of complex phenomena. This book looks at granular computing techniques such as algorithmic pursuits and includes diverse applications and case studies from fields such as power engineering.
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