Fuzzy methods for customer relationship management and marketing : applications and classifications / Andreas Meier and Laurent Donze, editors.
"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 dec...
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| Other Authors: | , |
| Format: | Ebook |
| Language: | English |
| Published: |
Hershey PA :
Business Science Reference,
2012.
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| Subjects: | |
| Online Access: | IGI Global e-Book Collection |
| Summary: | "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."--Publisher's website. |
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| Physical Description: | 1 electronic document (.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1283418789 1466600969 9781283418782 9781466600966 |