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Published by Business Science Reference, 2012
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Published by Idea Group Publishing, 2012
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Published by Business Science Reference, 2012
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Published by Business Science Reference, 2011
ISBN 10: 1466600950 ISBN 13: 9781466600959
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Published by Business Science Reference, 2011
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnInformation 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 elemen.
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Published by Business Science Reference, 2011
ISBN 10: 1466600950 ISBN 13: 9781466600959
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Buch. Condition: Neu. Fuzzy Methods for Customer Relationship Management and Marketing | Applications and Classifications | Andreas Meier (u. a.) | Buch | Gebunden | Englisch | 2011 | Business Science Reference | EAN 9781466600959 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Business Science Reference, 2012
ISBN 10: 1466600950 ISBN 13: 9781466600959
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.