{"id":92255,"date":"2018-09-24T11:39:36","date_gmt":"2018-09-24T08:39:36","guid":{"rendered":"http:\/\/www.proscon.com.tr\/?page_id=92255"},"modified":"2023-07-16T21:00:20","modified_gmt":"2023-07-16T18:00:20","slug":"quantification-of-uncertainties-in-process-hazard-analysis-by-fuzzy-logic","status":"publish","type":"page","link":"https:\/\/www.proscon.com.tr\/en\/quantification-of-uncertainties-in-process-hazard-analysis-by-fuzzy-logic\/","title":{"rendered":"Quantification of Uncertainties in Process Hazard Analysis by Fuzzy Logic"},"content":{"rendered":"

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Quantification of Uncertainties in Process Hazard Analysis by Fuzzy Logic<\/h2>\n

O\u011fuzcan TA\u015eDEM\u0130R\u00a0 \u00a0 Chemical Engineer<\/strong><\/h5>\n
Yusuf Mert S\u00d6NMEZ<\/strong>\u00a0 Chemical Engineer Msc<\/em><\/h5>\n
Mehmet D\u0130LAVER\u00a0 \u00a0 \u00a0 \u00a0Chemical Engineer, T\u00dcV Functional Safety Engineer<\/strong><\/h5>\n

 <\/p>\n

Hazard and Operability (HAZOP) and similar studies have aleatoric and epistemic uncertainties due to their nature designed in the qualitative hazard analysis principle. These uncertainties directly affect the quality of the study and the variability of analyst experience and interpretations in the hazard analysis. In these studies, the linguistic effect on the accuracy and accuracy of the data obtained during the identification of the frequency or severity of the hazards is important to the extent that it will affect the quality of the study.<\/p>\n

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Keywords: Process hazard analysis, HAZOP, Fuzzy logic, fuzzy logic, modeling, aleatoric and epistemic data, linguistic effect\u00a0[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/1″][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/1″][vc_button border_width=”0″ link=”url:http%3A%2F%2Fwww.proscon.com.tr%2Fproses-tehlike-analizlerindeki-belirsizliklerin-bulanik-mantik-ile-kantitatiflestirilmesi%2F” button_color_type=”uncode-solid” button_color_solid=”#cc3333″ uncode_shortcode_id=”118013″]Read More[\/vc_button][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/1″][vc_empty_space empty_h=”3″][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column width=”1\/1″][vc_column_text uncode_shortcode_id=”174075″] Quantification of Uncertainties in Process Hazard Analysis by Fuzzy Logic O\u011fuzcan TA\u015eDEM\u0130R\u00a0 \u00a0 Chemical Engineer Yusuf Mert […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-92255","page","type-page","status-publish","hentry","page_category-technical-article"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t