Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set
This article presents a method for the rough set which attributes priority arrangement of cancellations in the life insurance. The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the probl...
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| Veröffentlicht in: | International journal of customer relationship marketing and management 2018-10, Vol.9 (4), p.16-43 |
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| container_end_page | 43 |
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| container_issue | 4 |
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| container_title | International journal of customer relationship marketing and management |
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| creator | Elsafty, M.A Elkhawaga, Hamed Mohamed |
| description | This article presents a method for the rough set which attributes priority arrangement of cancellations in the life insurance. The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the problem of cancellations of this document, needs to be investigated in the future. It is obvious that these cancellations negatively affect the result operations of insurance companies. The article identifies the most important variables that affect the rates of cancellations and so as to reach solutions that lead to reducing the number of canceled documents by using the Rough model. The rough model was used to identify the determinants of cancellations in the life insurance of the Egyptian insurance market, so as to reach solutions that lead to reduce the number of canceled policies and find solutions to them. These findings prove that the most important factors that affect the cancellations for insurance policies are policy premiums, insurance period and age of policyholders, respectively. |
| doi_str_mv | 10.4018/IJCRMM.2018100102 |
| format | Article |
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The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the problem of cancellations of this document, needs to be investigated in the future. It is obvious that these cancellations negatively affect the result operations of insurance companies. The article identifies the most important variables that affect the rates of cancellations and so as to reach solutions that lead to reducing the number of canceled documents by using the Rough model. The rough model was used to identify the determinants of cancellations in the life insurance of the Egyptian insurance market, so as to reach solutions that lead to reduce the number of canceled policies and find solutions to them. These findings prove that the most important factors that affect the cancellations for insurance policies are policy premiums, insurance period and age of policyholders, respectively.</description><identifier>ISSN: 1947-9247</identifier><identifier>EISSN: 1947-9255</identifier><identifier>DOI: 10.4018/IJCRMM.2018100102</identifier><language>eng</language><publisher>Hershey: IGI Global</publisher><subject>Cancellations ; Insurance industry ; Insurance policies ; Life insurance</subject><ispartof>International journal of customer relationship marketing and management, 2018-10, Vol.9 (4), p.16-43</ispartof><rights>COPYRIGHT 2018 IGI Global</rights><rights>Copyright © 2018, IGI Global. 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The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the problem of cancellations of this document, needs to be investigated in the future. It is obvious that these cancellations negatively affect the result operations of insurance companies. The article identifies the most important variables that affect the rates of cancellations and so as to reach solutions that lead to reducing the number of canceled documents by using the Rough model. The rough model was used to identify the determinants of cancellations in the life insurance of the Egyptian insurance market, so as to reach solutions that lead to reduce the number of canceled policies and find solutions to them. These findings prove that the most important factors that affect the cancellations for insurance policies are policy premiums, insurance period and age of policyholders, respectively.</description><subject>Cancellations</subject><subject>Insurance industry</subject><subject>Insurance policies</subject><subject>Life insurance</subject><issn>1947-9247</issn><issn>1947-9255</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU1PAjEQhjdGEwn6A7w18WQi2M9teyREEQPRoJybZZldSmAX2-6Bf29xVQ5qD9NJ5pnO9H2T5IrgPsdE3Y2fhrPptE9jTjAmmJ4kHaK57GkqxOlPzuV5cun9GscjuJSCdpL5IARnF00A9OJs7WzYo4FzWVXCFqqA6gINsyqHzSYLtq48shUKK0ATWwAaV75xhyqae1uVaFY35Qq9QrhIzops4-Hy6-4m84f7t-Fjb_I8Gg8Hk17OUhJ6C6BUCwKEKlIohhldLiFXWDHJOOcpAclyKqhSmhRp_BmoJdVaMS5TRTPCusl1--7O1e8N-GDWdeOqONJQjTkXMqUiUrctVWYbMIsm7go-Bm_LVfBl1nhvBlJoLSnnOOKkxXNXe--gMDtnt5nbG4LNQW_T6m2Oeseem7bHlva4wy_O7JZFZEd_sJ8emG8PzNGDf4dq9gHkg5Wk</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Elsafty, M.A</creator><creator>Elkhawaga, Hamed Mohamed</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20181001</creationdate><title>Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set</title><author>Elsafty, M.A ; Elkhawaga, Hamed Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-be22951e1281f83032ddec80837344461e73c2528891f6001e8d2998347682a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cancellations</topic><topic>Insurance industry</topic><topic>Insurance policies</topic><topic>Life insurance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elsafty, M.A</creatorcontrib><creatorcontrib>Elkhawaga, Hamed Mohamed</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of customer relationship marketing and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elsafty, M.A</au><au>Elkhawaga, Hamed Mohamed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set</atitle><jtitle>International journal of customer relationship marketing and management</jtitle><date>2018-10-01</date><risdate>2018</risdate><volume>9</volume><issue>4</issue><spage>16</spage><epage>43</epage><pages>16-43</pages><issn>1947-9247</issn><eissn>1947-9255</eissn><abstract>This article presents a method for the rough set which attributes priority arrangement of cancellations in the life insurance. The number of canceled documents on the rise plus they're oscillatory and also the rates of cancellations in constant fluctuation, which requires searching in the problem of cancellations of this document, needs to be investigated in the future. It is obvious that these cancellations negatively affect the result operations of insurance companies. The article identifies the most important variables that affect the rates of cancellations and so as to reach solutions that lead to reducing the number of canceled documents by using the Rough model. The rough model was used to identify the determinants of cancellations in the life insurance of the Egyptian insurance market, so as to reach solutions that lead to reduce the number of canceled policies and find solutions to them. 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| fulltext | fulltext |
| identifier | ISSN: 1947-9247 |
| ispartof | International journal of customer relationship marketing and management, 2018-10, Vol.9 (4), p.16-43 |
| issn | 1947-9247 1947-9255 |
| language | eng |
| recordid | cdi_crossref_primary_10_4018_IJCRMM_2018100102 |
| source | ProQuest Central |
| subjects | Cancellations Insurance industry Insurance policies Life insurance |
| title | Attribute Priority Arrangement of Cancellations in the Life Insurance Using Rough Set |
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