Fuzzy Methods for Customer Relationship Management and Marketing Applications and Classifications

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.

Dettagli sul prodotto

• Con la collaborazione di: Laurent Donzé (Editore), Laurent Donze (Editore), Andreas Meier (Editore), Laurent Donz' (Editore)
• Editore: Business Science Reference
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 09.12.2011
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; Scienze sociali, diritto, economia > Economia > Pubblicità, marketing
• EAN: 9781466600959
• ISBN: 978-1-4666-0095-9
• Numero di pagine: 388
• Dimensioni (della confezione): 22.1 x 28.6 x 2.5 cm
• Peso (della confezione): 1’233 g
• Serie: Premier Reference Source
• Categorie: Unternehmenssoftware, customer relationship management, Fuzzy Logic and Marketing, Fuzzy segmentation, Fuzzy Data Warehouse, Fuzzy Online Reputation Analysis Framework, Fuzzy Dynamic Groups, Fuzzy Clustering of Web User Profiles