عنوان

Discrete fuzzy measures :

(Number (ISBN

3030153053

(Number (ISBN

3030153061

(Number (ISBN

303015307X

(Number (ISBN

9783030153052

(Number (ISBN

9783030153069

(Number (ISBN

9783030153076

Erroneous ISBN

3030153045

Erroneous ISBN

9783030153045

Title Proper

Discrete fuzzy measures :

General Material Designation

[Book]

Other Title Information

computational aspects /

First Statement of Responsibility

Gleb Beliakov, Simon James, Jian-Zhang Wu.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2020.

Specific Material Designation and Extent of Item

1 online resource (xiv, 245 pages) :

Other Physical Details

illustrations (some color).

Series Title

Studies in fuzziness and soft computing,

Volume Designation

volume 382

ISSN of Series

1434-9922 ;

Text of Note

Includes bibliographical references and index.

Text of Note

Introduction -- Types of Fuzzy Measures -- Value and Interaction Indices -- Representations -- Fuzzy Integrals -- Symmetric Fuzzy Measures: OWA -- k-order Fuzzy Measures and k-order Aggregation Functions -- Learning Fuzzy Measures -- Index.

0

Text of Note

This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support or fuzzy memberships into one representative value, taking into account interactions between the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs. Building on previous monographs published by the authors and dealing with different aspects of aggregation, this book especially focuses on the Choquet and Sugeno integrals. It presents a number of new findings concerning computation of fuzzy measures, learning them from data and modeling interactions. The book does not require substantial mathematical background, as all the relevant notions are explained. It is intended as concise, timely and self-contained guide to the use of fuzzy measures in the field of multicriteria decision making.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030153052

International Standard Book Number

9783030153045

Fuzzy measure theory.

Fuzzy measure theory.

COM004000

UYQ

UYQ

Number

Edition

Class number

Beliakov, Gleb

James, Simon

Wu, Jian-Zhang

Date of Transaction

20200823084349.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y