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Fuzzy classification of online customers

Werro, Nicolas.

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Fuzzy classification of online customers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy classification of online customers/ by Nicolas Werro.
Author:	Werro, Nicolas.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiii, 141 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion.
Contained By:	Springer eBooks
Subject:	Fuzzy logic. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-15970-6
ISBN:	9783319159706 (electronic bk.)

Fuzzy classification of online customers
Werro, Nicolas.

Fuzzy classification of online customers[electronic resource] /by Nicolas Werro. - Cham :Springer International Publishing :2015. - xiii, 141 p. :ill., digital ;24 cm. - Fuzzy management methods,2196-4130. - Fuzzy management methods..

Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion.

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 language’s grammar.

ISBN: 9783319159706 (electronic bk.)

Standard No.: 10.1007/978-3-319-15970-6doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Fuzzy classification of online customers
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020 $a 9783319159690 (paper)
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100 1 $a Werro, Nicolas. $3 2134448
245 1 0 $a Fuzzy classification of online customers $h [electronic resource] / $c by Nicolas Werro.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 141 p. : $b ill., digital ; $c 24 cm.
490 1 $a Fuzzy management methods, $x 2196-4130
505 0 $a Introduction -- Fuzzy Set Theory -- Relational Databases and Fuzzy Classification -- Customer Relationship Management -- Fuzzy Customer Classes -- Fuzzy Classification Applied to Online Shops -- fCQL Toolkit -- Conclusion.
520 $a 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 language’s grammar.
650 0 $a Fuzzy logic. $3 532071
650 0 $a Customer relations $x Management $x Data processing. $3 582815
650 0 $a Electronic commerce $x Management. $3 615403
650 1 4 $a Economics/Management Science. $3 890844
650 2 4 $a IT in Business. $3 2114922
650 2 4 $a e-Commerce/e-business. $3 1005486
650 2 4 $a Marketing. $3 536353
650 2 4 $a Sales/Distribution/Call Center/Customer Service. $3 1620159
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Fuzzy management methods. $3 2058572
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-15970-6
950 $a Business and Economics (Springer-11643)