Applying Fuzzy Logic and Fuzzy Methods to Marketing
Supply Chain ManagementPublished 6 December 2012
Laurent Donzé, Andreas Meier
Citations3
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Marketing deals with identifying and meeting the needs of customers. It is therefore both an art and a science. To bridge the gap between art and science, soft computing, or computing with words, could be an option. This chapter introduces fundamental concepts such as fuzzy sets, fuzzy logic, and computing with linguistic variables and terms. This set of fuzzy methods can be applied in marketing and customer relationship management. In the conclusion, future research directions are given for applying fuzzy logic to marketing and customer relationship management.
Keywords
Computer Science
Intellectual Capital: Realizing Your Company's True Value by Finding Its Hidden Brainpower
3,108 Citations1997Leif Edvinsson, Michael S. Malone
This guide establishes the need for identifying hidden assets, develops principles for intellectual accounting, explains the metrics, applies the model with real examples and provides an action plan for managing development and growth of intellectual capital.
IBM Journal of Research and DevelopmentSEQUEL 2: A Unified Approach to Data Definition, Manipulation, and Control
521 Citations1976Donald D. Chamberlin, M. M. Astrahan +6 more
SEQUEL 2 is a relational data language that provides a consistent, English keyword-oriented set of facilities for query, data definition, data manipulation, and datac ontrol.
Advances in fuzzy systemsFuzzy Logic for Business, Finance, and Management
290 Citations1997G. Bojadziev, Maria Bojadziev +1 more
Fuzzy Sets and SystemsFuzzy logic methods in recommender systems
214 Citations2003Ronald R. Yager
Here the authors consider methodologies for constructing recommender systems that are based solely on the preferences of the single individual for whom they are providing the recommendation and make no use of the preference of other collaborators.
Cambridge University Press eBooksAn Introduction to Many-Valued and Fuzzy Logic
124 Citations2008Merrie Bergmann
The principle of charity reconsidered and a new problem of the fringe are discussed, as well as alternative semantics for truth-values and truth-functions and extensions of fuzziness.
International Journal of Research in MarketingMarket definition and segmentation using fuzzy clustering methods
122 Citations1986Harald Hruschka
Diverse hard and fuzzy clustering methods are used to form homogeneous segments of customers and sets of competitive brands, and external and internal validity of this classifications are determined.
Studies in fuzziness and soft computingMathematics of Fuzziness – Basic Issues
113 Citations2009Xuzhu Wang, Da Ruan +1 more
Fuzzy Inference and Fuzzy Control, a Brief Introduction to Some Pure Mathematical Topics, and more.
Fuzziness in Database Management Systems
104 Citations1995Patrick Bose, Janusz Kacprzyk
Studies in fuzziness and soft computingKnowledge Management in Fuzzy Databases
98 Citations2000Olga Pons, M.A. Vila +1 more
The volume presents recent developments in the introduction of fuzzy, probabilistic and rough elements into basic components of fuzzy databases, and their use (notably querying and information retrieval), from the point of view of data mining and knowledge discovery.
IGI Global eBooksAn Overview of Fuzzy Approaches to Flexible Database Querying
48 Citations2008Sławomir Zadrożny, Guy De Tré +2 more
This chapter gives an overview of main trends in the research on flexible querying techniques that are based on fuzzy set theory and comprises both the relational and the object-oriented database modeling approaches.
IGI Global eBooksFuzzy Classification on Relational Databases
45 Citations2008Andreas Meier, Günter Schindler +1 more
The fuzzy logic theory proposed by Zadeh (1965) is based on intuitive reasoning and takes into account human subjectivity and imprecision and enables the use of nonnumerical values and introduces the notion of linguistic variables.
Very Large Data BasesUsing a fuzzy classification query language for customer relationship management
37 Citations2005Andreas Meier, Nicolas Werro +2 more
A combination of relational databases and fuzzy logic is proposed for the analysis of customer relationships to improve customer equity, launch loyalty programs, automate mass customization, and refine marketing campaigns.
eBusiness & eCommerce
32 Citations2009Andreas Meier, Henrik Stormer
A Fuzzy Classification Model for Online Customers
22 Citations2007Andreas Meier, Nicolas Werro
The paper illustrates how webshops can be extended by a fuzzy classification model, which allows webshop administrators to improve customer equity, launch loyalty programs, automate mass customization and personalization issues, and refine marketing campaigns to maximize the real value of the customers.
An inductive fuzzy classification approach applied to individual marketing
20 Citations2009M. Kaufmann, Andreas Meier
A case study is presented where this fuzzy data analysis process is applied in predictive analytics for an individual marketing campaign in the online channel of a financial service provider by selecting fuzzy target groups in a data warehouse.
A Hierarchical Fuzzy Classification of Online Customers
17 Citations2006Nicolas Werro, Henrik Stormer +1 more
A hierarchical fuzzy classification of online customers is proposed, which is a combination of relational databases and fuzzy logic, allows customers to be classified in several classes at the same time and can therefore precisely determine the customers' value for an enterprise.
Kluwer Academic Publishers eBooksPersonalized Discount - A Fuzzy Logic Approach
14 Citations2006Nicolas Werro, Henrik Stormer +1 more
This paper proposes to calculate personalized discounts based on a fuzzy classification which can derive the customers’ value for an enterprise and allows the company to drive the customer equity which treats the customers according to their real value in order to maximize its profit.