Purpose Customer differences and similarities play a crucial role in service operations, and
service industries need to develop various strategies for different customer types. This study …

Internet-based services and retail are growing rapidly. To manage online customer
relationships with linguistic comments, we propose a dynamic interval type-2 fuzzy customer …

Remotely sensed imagery classification have a large amount of uncertainty related to the
intraclass heterogeneity and the interclass ambiguity of objects. Fuzzy set theory can …

The improvements in mobile technologies led to the wide adaptation and triggered the
demand for location based services. In this respect, examining user similarities enable the …

Customer segmentation is the process of dividing customers into groups having similar
features. Deciding the type of segmentation is a multiattribute decision problem that should …

Recency, Frequency, Monetary (RFM) technique is a common and useful way for customer
segmentation analysis, which is a must in sales, marketing, and operation management …

Abstract RFM (recency, frequency, monetary) analysis is an essential tool for customer
segmentation, which is very important for marketing, communication, and even operations …

The revealing of advancements in mobile technologies and wide application of location
based services have derived the emergence of location based services considering user …

Customer segmentation is essential for marketing, communication, and even operations
management activities. E-commerce provides the data required for novel perspectives to …

Intelligent algorithms for college automatic formation of English test paper based on the
knowledge point association analysis and fuzzy clustering are designed in this manuscript …