TY - JOUR ID - 54073 TI - Designing fuzzy expert system for chief privacy officer in government and businesses E-transactions JO - Journal of Information Technology Management JA - JITM LA - en SN - AU - Elahi, Sha’ban AU - Rashidi, Mostafa AU - Sadeghi, Mahmoud AD - Associate Prof., Information Technology Management Department, Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran AD - MSc. in Information Technology Management, Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran AD - Associate Prof., Private Law Department, Faculty of Law, Tarbiat Modares University, Tehran, Iran Y1 - 2015 PY - 2015 VL - 7 IS - 3 SP - 511 EP - 530 KW - chief privacy officer KW - Expert system KW - Fuzzy logic KW - government and businesses e-transactions DO - 10.22059/jitm.2015.54073 N2 - 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. UR - https://jitm.ut.ac.ir/article_54073.html L1 - https://jitm.ut.ac.ir/article_54073_d0135808f5e0ab7c814068c4da23d7e7.pdf ER -