Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions
The Chief Privacy Officers (CPO) are faced with many and varied responsibilities and roles. In this paper, a fuzzy expert system is designed, called "Chief Privacy Officer Fuzzy Expert System (CPOFEX)", to inform the Chief Privacy Officer about "the Status of the Privacy of Government...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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University of Tehran
2015-09-01
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| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_54073_d0135808f5e0ab7c814068c4da23d7e7.pdf |
| _version_ | 1811248535697358848 |
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| author | Sha’ban Elahi Mostafa Rashidi Mahmoud Sadeghi |
| author_facet | Sha’ban Elahi Mostafa Rashidi Mahmoud Sadeghi |
| author_sort | Sha’ban Elahi |
| collection | DOAJ |
| description | The Chief Privacy Officers (CPO) are faced with many and varied responsibilities and roles. In this paper, a fuzzy expert system is designed, called "Chief Privacy Officer Fuzzy Expert System (CPOFEX)", to inform the Chief Privacy Officer about "the Status of the Privacy of Government and Businesses (G-B) E-Transactions". To develop the research model and knowledge base of the mentioned expert system, the concepts of “the Chief Privacy Officers (CPO) Capability“, “Electronic Crimes Intents“, “Type of Government and Business E-Transactions“, “Professional Ethics-Orientation in E-Transactions Parties“, “Privacy Protector Technologies in Enterprise“ were identified, as components of "the Status of the Privacy of Government and Businesses E-Transactions". To validate the mentioned expert system, the outputs of the system were compared with the experts views. This system can help to analyze "the status of the privacy of government and businesses e-transactions", and provide more accurate advices. |
| first_indexed | 2024-04-12T15:29:48Z |
| format | Article |
| id | doaj.art-fde96a287e2f42bfa8baa3e0cca558ec |
| institution | Directory Open Access Journal |
| issn | 2008-5893 2423-5059 |
| language | fas |
| last_indexed | 2024-04-12T15:29:48Z |
| publishDate | 2015-09-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj.art-fde96a287e2f42bfa8baa3e0cca558ec2022-12-22T03:27:10ZfasUniversity of TehranJournal of Information Technology Management2008-58932423-50592015-09-017351153010.22059/jitm.2015.5407354073Designing fuzzy expert system for chief privacy officer in government and businesses E-transactionsSha’ban Elahi0Mostafa Rashidi1Mahmoud Sadeghi2Associate Prof., Information Technology Management Department, Faculty of Management and Economic, Tarbiat Modares University, Tehran, IranMSc. in Information Technology Management, Faculty of Management and Economic, Tarbiat Modares University, Tehran, IranAssociate Prof., Private Law Department, Faculty of Law, Tarbiat Modares University, Tehran, IranThe Chief Privacy Officers (CPO) are faced with many and varied responsibilities and roles. In this paper, a fuzzy expert system is designed, called "Chief Privacy Officer Fuzzy Expert System (CPOFEX)", to inform the Chief Privacy Officer about "the Status of the Privacy of Government and Businesses (G-B) E-Transactions". To develop the research model and knowledge base of the mentioned expert system, the concepts of “the Chief Privacy Officers (CPO) Capability“, “Electronic Crimes Intents“, “Type of Government and Business E-Transactions“, “Professional Ethics-Orientation in E-Transactions Parties“, “Privacy Protector Technologies in Enterprise“ were identified, as components of "the Status of the Privacy of Government and Businesses E-Transactions". To validate the mentioned expert system, the outputs of the system were compared with the experts views. This system can help to analyze "the status of the privacy of government and businesses e-transactions", and provide more accurate advices.https://jitm.ut.ac.ir/article_54073_d0135808f5e0ab7c814068c4da23d7e7.pdfchief privacy officerExpert systemFuzzy logicgovernment and businesses e-transactions |
| spellingShingle | Sha’ban Elahi Mostafa Rashidi Mahmoud Sadeghi Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions Journal of Information Technology Management chief privacy officer Expert system Fuzzy logic government and businesses e-transactions |
| title | Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions |
| title_full | Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions |
| title_fullStr | Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions |
| title_full_unstemmed | Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions |
| title_short | Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions |
| title_sort | designing fuzzy expert system for chief privacy officer in government and businesses e transactions |
| topic | chief privacy officer Expert system Fuzzy logic government and businesses e-transactions |
| url | https://jitm.ut.ac.ir/article_54073_d0135808f5e0ab7c814068c4da23d7e7.pdf |
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