” Enhancing Accuracy of Neutrosophic –C means and Fuzzy C means with Application on insurance companies retention limit

نوع المستند : المقالة الأصلية

المؤلف

قسم الاحصاء التطبيقى والتأمين ، كلية التجارة، جامعه المنصورة

المستخلص

This study proposed two Methods of clustering including neutrosophic C- means and Fuzzy C-means with application on two insurance companies, contained, misr insurance company and suez canal insurance company. This paper aims to handle the drawbacks of FCM method of minimizing the intra-cluster variance and the sensitive noise which resulted in un accuracy findings by incorporating neutrosophic theory into clustering means. The neutrosophic C- means proposed as an alternative technique for FCM to handle the problems of fuzzy C- means. The both introduced approaches were applied on two insurance companies using two variables included retention limit and reinsurance commission rate. The findings of this study showed that the neutrosophic C- means get results more accuracy than the FCM according to neutrosophic accuracy measures included falsity, truth and indeterminacy. As using Neutrosophic C- means increasing accuracy from 65.4% according to FCM to 77%.
Key words: FCM, Neutrosophic C- Means; Falsity; Truth; Indeterminacy; Retention limit, Reinsurance commission rate.

الكلمات الرئيسية

مجلة البحوث المالية والتجارية
المجلد 26، العدد 2 - الرقم المسلسل للعدد 1
الجزء الأول: أبحاث متخصصة في الاقتصاد والاحصاءوالعلوم السياسية
إبريل 2025
الصفحة 373-390

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