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.
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