BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systems-Applications and Theory)

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systems-Applications and Theory)

Nonlinear integrals and their applications in data mining (Advances in Fuzzy
Stock photo: cover may vary

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systems-Applications and Theory) Paperback - 2010 - 1st Edition

by Wang, Zhenyuan

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Wspc, 2010-06-09. Paperback. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking
Ask the seller a question Add to wish list
A$214.75
A$5.73 Delivery within USA
Standard delivery: 4 to 14 days
More delivery options
Ships from SGS Trading Inc (New Jersey, United States)

Details

About SGS Trading Inc New Jersey, United States

Specialising in: Reference Books, Textbook
Biblio member since 2009

Textbook and Reference Books Discounted

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from SGS Trading Inc

Reader reviews for Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systems-Applications and Theory)

From the publisher

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable.The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.

From the jacket flap

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable.

The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.

tracking-