Fuzzy Methods for Customer Relationship Management and Marketing

Applications and Classifications

Business & Finance, Marketing & Sales, Customer Service, Nonfiction, Computers, Application Software, Business Software
Cover of the book Fuzzy Methods for Customer Relationship Management and Marketing by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781466604667
Publisher: IGI Global Publication: January 31, 2012
Imprint: Business Science Reference Language: English
Author:
ISBN: 9781466604667
Publisher: IGI Global
Publication: January 31, 2012
Imprint: Business Science Reference
Language: English
Information overload has made it increasingly difficult to analyze large amounts of data and generate appropriate management decisions. Furthermore, data is often imprecise and will include both quantitative and qualitative elements. For these reasons, it is important to extend traditional decision making processes by adding intuitive reasoning, human subjectivity, and imprecision. Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications explores the possibilities and advantages created by fuzzy methods through the presentation of thorough research and case studies. This book covers a variety of possible fuzzy logic approaches to customer relationship management and marketing, making it a valuable resource for not only students and researchers but also executives, managers, marketing experts, and project leaders who are interested in applying fuzzy classification to managerial decisions.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Information overload has made it increasingly difficult to analyze large amounts of data and generate appropriate management decisions. Furthermore, data is often imprecise and will include both quantitative and qualitative elements. For these reasons, it is important to extend traditional decision making processes by adding intuitive reasoning, human subjectivity, and imprecision. Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications explores the possibilities and advantages created by fuzzy methods through the presentation of thorough research and case studies. This book covers a variety of possible fuzzy logic approaches to customer relationship management and marketing, making it a valuable resource for not only students and researchers but also executives, managers, marketing experts, and project leaders who are interested in applying fuzzy classification to managerial decisions.

More books from IGI Global

Cover of the book Multiculturalism and Technology-Enhanced Language Learning by
Cover of the book Comparative Political and Economic Perspectives on the MENA Region by
Cover of the book Control and Treatment of Landfill Leachate for Sanitary Waste Disposal by
Cover of the book Telehealth Networks for Hospital Services by
Cover of the book Green Marketing and Environmental Responsibility in Modern Corporations by
Cover of the book Technology and Its Impact on Educational Leadership by
Cover of the book Virtual Immersive and 3D Learning Spaces by
Cover of the book Solutions for Cyber-Physical Systems Ubiquity by
Cover of the book Faculty Mentorship at Historically Black Colleges and Universities by
Cover of the book Challenges Associated with Cross-Cultural and At-Risk Student Engagement by
Cover of the book Handbook of Research on Driving Competitive Advantage through Sustainable, Lean, and Disruptive Innovation by
Cover of the book ICT Ethics and Security in the 21st Century by
Cover of the book International Financial Reporting Standards and New Directions in Earnings Management by
Cover of the book Mobile Pedagogy and Perspectives on Teaching and Learning by
Cover of the book Performance and Dependability in Service Computing by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy