Fuzzy Methods for Customer Relationship Management and Marketing Applications and Classifications
Fuzzy Methods for Customer Relationship Management and Marketing Applications and Classifications by Andreas Meier, published by Business Science Reference in 2012, offers a comprehensive exploration of fuzzy methods in the context of customer relationship management and marketing. This edition spans 365 pages and is presented in English. The book addresses the challenges posed by information overload and the complexities of analyzing both quantitative and qualitative data, emphasizing the need for intuitive reasoning and human subjectivity in decision-making processes.
Readers will find a detailed examination of various fuzzy logic approaches, supported by thorough research and case studies. The content is designed to benefit a wide audience, including students, researchers, executives, managers, and marketing experts, who seek to enhance their understanding of fuzzy classification in managerial decisions. By integrating concepts from business and economics, this book serves as a valuable resource for those looking to navigate the intricacies of customer relations and marketing strategies.
Official synopsis Publisher
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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