” Enhancing Accuracy of Neutrosophic –C means and Fuzzy C means with Application on insurance companies retention limit | ||||
| مجلة البحوث المالية والتجارية | ||||
| Volume 26, Issue 2 - Serial Number 1, April 2025, Page 373-390 PDF (1.39 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jsst.2025.344992.1932 | ||||
 View on SCiNiTO | ||||
| Author | ||||
نيفين محسن أحمد زكى 
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| قسم الاحصاء التطبيقى والتأمين ، كلية التجارة، جامعه المنصورة | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Neutrosophic C- Means; Retention limit; Reinsurance commission rate | ||||
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