Discrete fuzzy measures : computational aspects / Gleb Beliakov, Simon James, Jian-Zhang Wu.
2020
QA312.5
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Can lend chapters, not whole ebooks
Details
Title
Discrete fuzzy measures : computational aspects / Gleb Beliakov, Simon James, Jian-Zhang Wu.
Author
Beliakov, Gleb, author.
ISBN
9783030153052 (electronic book)
3030153053 (electronic book)
9783030153045
3030153045
3030153053 (electronic book)
9783030153045
3030153045
Published
Cham, Switzerland : Springer, 2020.
Language
English
Description
1 online resource (xiv, 245 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-030-15305-2 doi
10.1007/978-3-030-15
10.1007/978-3-030-15
Call Number
QA312.5
Dewey Decimal Classification
515/.42
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 27, 2019).
Added Author
James, Simon, author.
Wu, Jian-Zhang, author.
Wu, Jian-Zhang, author.
Series
Studies in fuzziness and soft computing ; v. 382.
Available in Other Form
Print version: 9783030153045
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Table of Contents
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.
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.