Fuzzy Classification of Online Customers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Classification of Online Customers write by Nicolas Werro. This book was released on 2015. Fuzzy Classification of Online Customers available in PDF, EPUB and Kindle. 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.
Fuzzy Classification of Online Customers
Fuzzy Classification of Online Customers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Classification of Online Customers write by Nicolas Werro. This book was released on 2015-02-26. Fuzzy Classification of Online Customers available in PDF, EPUB and Kindle. 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.
Fuzzy Classification of Online Customers
Fuzzy Classification of Online Customers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Classification of Online Customers write by . This book was released on . Fuzzy Classification of Online Customers available in PDF, EPUB and Kindle.
Inductive Fuzzy Classification in Marketing Analytics
Inductive Fuzzy Classification in Marketing Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Inductive Fuzzy Classification in Marketing Analytics write by Michael Kaufmann. This book was released on 2014-06-04. Inductive Fuzzy Classification in Marketing Analytics available in PDF, EPUB and Kindle. To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.
Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications
Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications write by Meier, Andreas. This book was released on 2012-01-31. Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications available in PDF, EPUB and Kindle. "This book explores the possibilities and advantages created by fuzzy methods through the presentation of thorough research and case studies"--Provided by publisher.
