A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages
Chemical industries are highly vulnerable to accidental events or terrorist attacks due to their processing, storage, and transportation of explosive, flammable, and toxic materials. Major industrial risks include fire, explosion, and toxic chemical release. An effective risk evaluation system is es...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024172477 |
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| author | Abdul Aziz Md Masum Suzon Rakib Hasan |
| author_facet | Abdul Aziz Md Masum Suzon Rakib Hasan |
| author_sort | Abdul Aziz |
| collection | DOAJ |
| description | Chemical industries are highly vulnerable to accidental events or terrorist attacks due to their processing, storage, and transportation of explosive, flammable, and toxic materials. Major industrial risks include fire, explosion, and toxic chemical release. An effective risk evaluation system is essential to prevent accidents or terrorist attacks. The proposed system can evaluate the risk of handling hazardous chemicals and determine the appropriate precaution level to prevent accidents using a fuzzy inference system. The inventory size, explosiveness, flammability, and toxicity of the chemicals are used as input variables for evaluating the output variable risk. The defuzzified value of risk indicates the amount of damage it can cause if accidents happen. Using the calculated risk value and the location of the chemical industry as input variables, precaution level can be determined. Security arrangements have been recommended based on the different precaution levels so that industries can take appropriate measures according to the calculated results. This approach helps to protect the environment and save lives from any mishaps. |
| format | Article |
| id | doaj-art-91af62e35c454045816faf17cb203126 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-91af62e35c454045816faf17cb2031262025-01-17T04:50:32ZengElsevierHeliyon2405-84402025-01-01111e41216A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damagesAbdul Aziz0Md Masum Suzon1Rakib Hasan2Corresponding author.; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna - 9203, BangladeshDepartment of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna - 9203, BangladeshDepartment of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna - 9203, BangladeshChemical industries are highly vulnerable to accidental events or terrorist attacks due to their processing, storage, and transportation of explosive, flammable, and toxic materials. Major industrial risks include fire, explosion, and toxic chemical release. An effective risk evaluation system is essential to prevent accidents or terrorist attacks. The proposed system can evaluate the risk of handling hazardous chemicals and determine the appropriate precaution level to prevent accidents using a fuzzy inference system. The inventory size, explosiveness, flammability, and toxicity of the chemicals are used as input variables for evaluating the output variable risk. The defuzzified value of risk indicates the amount of damage it can cause if accidents happen. Using the calculated risk value and the location of the chemical industry as input variables, precaution level can be determined. Security arrangements have been recommended based on the different precaution levels so that industries can take appropriate measures according to the calculated results. This approach helps to protect the environment and save lives from any mishaps.http://www.sciencedirect.com/science/article/pii/S2405844024172477ExplosivenessFuzzy logicFlammabilityHazardous chemicalsPrecaution levelRisk evaluation |
| spellingShingle | Abdul Aziz Md Masum Suzon Rakib Hasan A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages Heliyon Explosiveness Fuzzy logic Flammability Hazardous chemicals Precaution level Risk evaluation |
| title | A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages |
| title_full | A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages |
| title_fullStr | A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages |
| title_full_unstemmed | A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages |
| title_short | A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages |
| title_sort | fuzzy logic based risk evaluation and precaution level estimation of explosive flammable and toxic chemicals for preventing damages |
| topic | Explosiveness Fuzzy logic Flammability Hazardous chemicals Precaution level Risk evaluation |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024172477 |
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