• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Graduate Student Research
    • The Capitol Graduate Research Summit in Topeka
    • 2009 WSU Annual CGRS Abstracts
    • View Item
    •   Shocker Open Access Repository Home
    • Graduate Student Research
    • The Capitol Graduate Research Summit in Topeka
    • 2009 WSU Annual CGRS Abstracts
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Identifying users’ characteristics critical to product selection using Rough Set Theory

    View/Open
    Aly_Ahmady_CGRS_6_2009.pdf (8.902Kb)
    Date
    2009-03-12
    Author
    Ahmady, Ali
    Metadata
    Show full item record
    Abstract
    A consumer’s purchase decision making process is very complex. It is obvious that the set of product functional features has a major role in the purchase decision. However, for a same product, users may have different assessments. So it seems that other factors than product functional characteristics play a role in decision making. Frequently, customers are segmented based on characteristics such as age, gender, geographic location, etc. Nevertheless, in many cases it has been seen that the customers in the same segment have different points-of-view for the same product. For example, some customers in a group may consider a product suitable while others don’t. Inconsistencies between customers can cause uncertainty for designers in producing the most satisfying product attributes. This paper presents a method to resolve this kind of uncertainty using Rough Set Theory. The input of this method is users’ evaluation data for a product with respect to a specific customer subjective feeling. The output is sets of the most influential users’ characteristics on their product selection preferences. By using reduced sets of users’ characteristics, designers are able to reclassify users and resolve inconsistencies.
    Description
    The project completed at the Wichita State University Department of Industrial and Manufacturing Engineering. Presented at the 6th Annual Capitol Graduate Research Summit, Topeka, KS, 2009
    URI
    http://hdl.handle.net/10057/5455
    Collections
    • 2009 WSU Annual CGRS Abstracts

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2023  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV