Transactions On Rough Sets II

by ; ; ; ;
Format: Paperback
Pub. Date: 2005-01-01
Publisher(s): Springer-Verlag New York Inc
List Price: $109.99

Rent Textbook

Select for Price
There was a problem. Please try again later.

New Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

How Marketplace Works:

  • This item is offered by an independent seller and not shipped from our warehouse
  • Item details like edition and cover design may differ from our description; see seller's comments before ordering.
  • Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
  • Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
  • Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.

Summary

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.

Table of Contents

Feature Selection with Rough Sets for Web Page Classification 1(13)
Aijun An, Yanhui Huang, Xiangji Huang, and Nick Cercone
On Learning Similarity Relations in Fuzzy Case-Based Reasoning 14(19)
Eva Armengol, Francesc Esteva, Lluis Godo, and Vicenç Torra
Incremental versus Non-incremental Rule Induction for Multicriteria Classification 33(21)
Salvatore Greco, Roman Slowiriski, Jerzy Stefanowski, and Marcin Žurawski
Three Strategies to Rule Induction from Data with Numerical Attributes 54(9)
Jerzy W. Grzymala-Busse
Fuzzy Transforms 63(19)
Irma Perfilieva
Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems 82(25)
Hiroshi Sakai
Applications of Fuzzy Logic Functions to Knowledge Discovery in Databases 107(22)
Noboru Takagi, Hiroaki Kikuchi, and Masao Mukaidono
Fuzzy Integral Based Fuzzy Switching Functions 129(22)
Eiichiro Takahagi
First Steps Towards Computably-Infinite Information Systems 151(38)
Peter Apostoli, Akira Kanda, and Lech Polkowski
Data Structure and Operations for Fuzzy Multisets 189(12)
Sadaaki Miyamoto
A Non-controversial Definition of Fuzzy Sets 201(7)
Jaroslav Ramik and Milan Vlach
Algebraic Structures for Rough Sets 208(45)
Gianpiero Cattaneo and Davide Ciucci
Rough Mereology as a Link Between Rough and Fuzzy Set Theories. A Survey 253(25)
Lech Polkowski
Fuzzy Rough Sets Based on Residuated Lattices 278(19)
Anna Maria Radzikowska and Etienne E. Kerre
Semantics of Fuzzy Sets in Rough Set Theory 297(22)
Yiyu Yao
A New Proposal for Fuzzy Rough Approximations and Gradual Decision Rule Representation 319(24)
Salvatore Greco, Masahiro Inuiguchi, and Roman Slowirnski
Emergent Rough Set Data Analysis 343(20)
Yasser Hassan and Eiichiro Tazaki
Author Index 363

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.