Bagged fuzzy clustering for fuzzy data: An application to a tourism market

Authors: D'Urso, P., Disegna, M., Massari, R. and Prayag, G.

Journal: Knowledge-Based Systems

Volume: 73

Issue: 1

Pages: 335-346

ISSN: 0950-7051

DOI: 10.1016/j.knosys.2014.10.015

Abstract:

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 (BC) method and the fuzzy C-means clustering method for fuzzy data (FCM-FD), i.e., the Bagged fuzzy C-means clustering method for fuzzy data (BFCM-FD). The method inherits the advantages of stability and reproducibility from BC and the flexibility from FCM-FD. The method is applied on a sample of 328 Chinese consumers revealing the existence of four segments (Admirers, Enthusiasts, Moderates, and Apathetics) of the perceived images of Western Europe as a tourist destination. The results highlight the heterogeneity in Chinese consumers' place preferences and implications for place marketing are offered.

http://eprints.bournemouth.ac.uk/23278/

Source: Scopus

Bagged fuzzy clustering for fuzzy data: An application to a tourism market

Authors: D'Urso, P., Disegna, M., Massari, R. and Prayag, G.

Journal: KNOWLEDGE-BASED SYSTEMS

Volume: 73

Pages: 335-346

eISSN: 1872-7409

ISSN: 0950-7051

DOI: 10.1016/j.knosys.2014.10.015

http://eprints.bournemouth.ac.uk/23278/

Source: Web of Science (Lite)

Bagged fuzzy clustering for fuzzy data: An application to a tourism market

Authors: D'Urso, P., Disegna, M., Massari, R. and Prayag, G.

Journal: Knowledge-Based Systems

Volume: 73

Issue: 1

Pages: 335-346

DOI: 10.1016/j.knosys.2014.10.015

Abstract:

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 (BC) method and the fuzzy C-means clustering method for fuzzy data (FCM-FD), i.e., the Bagged fuzzy C-means clustering method for fuzzy data (BFCM-FD). The method inherits the advantages of stability and reproducibility from BC and the flexibility from FCM-FD. The method is applied on a sample of 328 Chinese consumers revealing the existence of four segments (Admirers, Enthusiasts, Moderates, and Apathetics) of the perceived images of Western Europe as a tourist destination. The results highlight the heterogeneity in Chinese consumers' place preferences and implications for place marketing are offered. © 2014 Elsevier B.V. All rights reserved.

http://eprints.bournemouth.ac.uk/23278/

Source: Manual

Preferred by: Marta Disegna

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