The Resource Fuzzy classification of online customers, Nicolas Werro

Fuzzy classification of online customers, Nicolas Werro

Label
Fuzzy classification of online customers
Title
Fuzzy classification of online customers
Statement of responsibility
Nicolas Werro
Creator
Author
Subject
Genre
Language
eng
Summary
This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory, and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM. It juxtaposes fuzzy and sharp customer classes and shows the implications for customer positioning, mass customization, personalization, customer assessment and controlling. Finally, the book presents the application and implementation of the concepts in online shops. A detailed case study presents the application and a separate chapter introduces the fuzzy Classification Query Language (fCQL) toolkit for implementing these concepts. In its appendix the book lists the fuzzy set operators and the query languageĺls grammar
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Werro, Nicolas
Dewey number
511.3/13
Illustrations
illustrations
Index
no index present
LC call number
QA9.64
LC item number
.W47 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Fuzzy management methods,
http://library.link/vocab/subjectName
  • Fuzzy logic
  • Customer relations
  • Electronic commerce
  • MATHEMATICS
  • Customer relations
  • Electronic commerce
  • Fuzzy logic
  • Business and Management
  • IT in Business
  • e-Commerce/e-business
  • Marketing
  • Sales/Distribution
  • Business applications
  • Sales & marketing
  • Business mathematics & systems
Label
Fuzzy classification of online customers, Nicolas Werro
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-15970-6
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion
Dimensions
unknown
Extent
1 online resource (xiii, 141 pages)
File format
unknown
Form of item
online
Isbn
9783319159706
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-15970-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)904248943
  • (OCoLC)ocn904248943
Label
Fuzzy classification of online customers, Nicolas Werro
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-15970-6
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion
Dimensions
unknown
Extent
1 online resource (xiii, 141 pages)
File format
unknown
Form of item
online
Isbn
9783319159706
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-15970-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)904248943
  • (OCoLC)ocn904248943

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