تفاصيل الوثيقة
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نوع الوثيقة |
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مقال في مجلة دورية |
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عنوان الوثيقة |
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طريقة لإرضاء العملاء قائمة على تحديد قواعد الهيكل العامل A rule-based method for identifying the factor structure in customer satisfaction |
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الموضوع |
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علوم الحاسبات |
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لغة الوثيقة |
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الانجليزية |
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المستخلص |
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6. The analysis of customer satisfaction datasets has shown that product-related features fall into three categories (i.e., basic, performance, and excitement), which affect overall satisfaction differently. Because the relationship between product features and customer satisfaction is characterized by non-linearity and asymmetry, feature values are studied to understand the characteristics of a feature. However, existing methods are computationally expensive and work for ordinal features only. We propose a rule-based method that can be used to analyze data features regarding various characteristics of customer satisfaction. The inputs for these rules are derived by using a probabilistic feature-selection technique. In this feature selection method, mutual associations between feature values and class decisions in a pre-classified database are computed to measure the significance of feature values. The proposed method can be used for both types of features: ordinal and categorical. The proposed method is more computationally efficient than previously recommended methods. We performed experiments on a synthetic dataset with known characteristics, and our method correctly predicted the characteristics of the dataset. We also performed experiments with a real-housing dataset. The knowledge extracted from the dataset by using this method is in agreement with the domain knowledge |
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ردمد |
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0020-0255 |
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اسم الدورية |
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Information Sciences |
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المجلد |
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198 |
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العدد |
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1 |
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سنة النشر |
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1432 هـ
2011 م |
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نوع المقالة |
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مقالة علمية |
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تاريخ الاضافة على الموقع |
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Wednesday, November 6, 2013 |
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الباحثون
| أمير احمد | Ahmad, Amir | باحث | دكتوراه | amirahmad01@gmail.com |
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الرجوع إلى صفحة الأبحاث
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