Fuzzy technology [electronic resource] : present applications and future challenges / edited by Mikael Collan, Mario Fedrizzi, Janusz Kacprzyk.
2016
Q342
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Cite
Citation
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Fuzzy technology [electronic resource] : present applications and future challenges / edited by Mikael Collan, Mario Fedrizzi, Janusz Kacprzyk.
ISBN
9783319269863 (electronic book)
3319269860 (electronic book)
9783319269849
3319269844
3319269860 (electronic book)
9783319269849
3319269844
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (xvi, 219 pages) : illustrations.
Item Number
10.1007/978-3-319-26986-3 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
This book provides readers with a timely and comprehensive yet concise view on the field of fuzzy logic and its real-world applications. The chapters, written by authoritative scholars in the field, report on promising new models for data analysis, decision making, and systems modeling, with a special emphasis on their applications in management science. The book is a token of appreciation from the fuzzy research community to Professor Christer Carlsson for his long time research and organizational commitment, which have among other things resulted in the foundation and success of the Institute for Advanced Management Systems Research (IAMSR) at Åbo Akademi University, in Åbo (Turku), Finland. The book serves as timely guide for the fuzzy logic and operations research communities alike. .
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Studies in fuzziness and soft computing ; 335.
Available in Other Form
Print version: 9783319269849
Linked Resources
Record Appears in
Table of Contents
Part I: Foundations
Part II: Data Analysis, Decision Making and Systems Modeling
Part III: Fuzzy Logic in Business and Industrial Practice.
Part II: Data Analysis, Decision Making and Systems Modeling
Part III: Fuzzy Logic in Business and Industrial Practice.