Bagged fuzzy clustering for fuzzy data: An application to a tourism market
نویسندگان
چکیده
منابع مشابه
Bagged fuzzy clustering for fuzzy data: An application to a tourism market
Segmentation has several strategic and tactical implications in marketing products and services. Despite hard clustering methods having several weaknesses, they remain widely applied in marketing studies. Alternative segmentation methods such as fuzzy methods are rarely used to understand consumer behaviour. In this study, we propose a strategy of analysis, by combining the Bagged Clustering (B...
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The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...
متن کاملBagged Clustering and its application to tourism market segmentation
Aim of the paper is to propose a segmentation technique based on the Bagged Clustering (BC) method. In the partitioning step of the BC method, B bootstrap samples with replacement are generated by drawing from the original sample. The Fuzzy C–Medoids Clustering (FCMdC) method is run on each bootstrap sample, obtaining (B×C) medoids and the membership degrees of each unit to the different cluste...
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a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2015
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2014.10.015