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A fuzzy decision support method for customer preferences analysis based on Choquet integral
conference contribution
posted on 2012-01-01, 00:00 authored by Huy Quan Vu, Gang LiGang Li, Gleb BeliakovGleb BeliakovThe explosion of the Web 2:0 platforms, with massive volume of user generated data, has presented many new opportunities as well as challenges for organizations in understanding consumer's behavior to support for business planning process. Feature based sentiment mining has been an emerging area in providing tools for automated opinion discovery and summarization to help business managers with achieving such goals. However, the current feature based sentiment mining systems were only able to provide some forms of sentiments summary with respect to product features, but impossible to provide insight into the decision making process of consumers. In this paper, we will present a relatively new decision support method based on Choquet Integral aggregation function, Shapley value and Interaction Index which is able to address such requirements of business managers. Using a study case of Hotel industry, we will demonstrate how this technique can be applied to effectively model the user's preference of (hotel) features. The presented method has potential to extend the practical capability of sentiment mining area, while, research findings and analysis are useful in helping business managers to define new target customers and to plan more effective marketing strategies.
History
Event
International Conference on Fuzzy Systems (2012 : Brisbane, Qld.)Pagination
75 - 82Publisher
IEEE Computer SocietyLocation
Brisbane, Qld.Place of publication
Los Alamitos, Calif.Publisher DOI
Start date
2012-06-10End date
2012-06-15ISBN-13
9781467315050ISBN-10
1467315052Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2012, IEEETitle of proceedings
FUZZ-IEEE 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy SystemsUsage metrics
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