Document Details
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Document Type |
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Article In Journal |
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Document Title |
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A rule-based method for identifying the factor structure in customer satisfaction طريقة لإرضاء العملاء قائمة على تحديد قواعد الهيكل العامل |
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Subject |
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Computer Science |
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Document Language |
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English |
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Abstract |
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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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ISSN |
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0020-0255 |
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Journal Name |
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Information Sciences |
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Volume |
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198 |
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Issue Number |
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1 |
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Publishing Year |
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1432 AH
2011 AD |
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Article Type |
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Article |
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Added Date |
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Wednesday, November 6, 2013 |
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Researchers
| أمير احمد | Ahmad, Amir | Researcher | Doctorate | amirahmad01@gmail.com |
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