RankSVM Integrated Quality Function Deployment Framework: Evaluating for M-Health Applications
2026 International Conference on Frontiers of Engineering and Emerging Technologies, FET 2026, Sakhir, Bahreyn, 22 - 23 Nisan 2026, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/fet68771.2026.11601555
- Basıldığı Şehir: Sakhir
- Basıldığı Ülke: Bahreyn
- Anahtar Kelimeler: customer, m-Health, QFD, quality, RankSVM
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
With the advancements in technology, healthcare has extended beyond traditional approaches. As mobile devices became widely available, mobile health (m-Health) has been emerged as convenient and practical channel for providing continuous health monitoring. As a result of rapid adaptation process, a structured framework for evaluating m-Health applications is required. By developing a quantitative and standardized quality evaluation system, service providers can prioritize improvements in their products with respect to customer expectations. To evaluate the quality of m-Health applications, quality function deployment (QFD) identifies the technical requirement ranking, indicating which technical improvements will yield the maximum benefit to customer satisfaction model can be utilized. For this aim, in the first stage, identified customer needs is ranked according to decision makers' preference. In traditional QFD model, this preference is generally established by a direct comparison among customer needs. However, for group decision making, this approach may result in conflicting evaluations. To overcome the problem, this study proposes a novel Ranking Support Vector Machine (RankSVM) integrated QFD model for utilizing decision makers' evaluation of customer needs to perform a pairwise comparison. The integrated method RankSVM model is used to obtain the preference matrix. This approach is applied for evaluating m-Health applications and obtained results provides a more sensitive and robust group decision making process.