Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry
Fuzzy risk analysis plays an important role in mitigating the levels of harm of a risk. In real world scenarios, it is a big challenge for risk analysts to make a proper and comprehensive decision when coping with risks that are incomplete, vague and fuzzy. Many established fuzzy risk analysis appro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27766/ http://umpir.ump.edu.my/id/eprint/27766/1/Fuzzy%20risk%20analysis%20under%20influence%20of%20non-homogeneous.pdf |
| _version_ | 1848822878848417792 |
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| author | Ahmad Syafadhli, Abu Bakar Ku Muhammad Naim, Ku Khalif Asma, Ahmad Shariff Gegov, Alexander Fauzani, Md Salleh |
| author_facet | Ahmad Syafadhli, Abu Bakar Ku Muhammad Naim, Ku Khalif Asma, Ahmad Shariff Gegov, Alexander Fauzani, Md Salleh |
| author_sort | Ahmad Syafadhli, Abu Bakar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Fuzzy risk analysis plays an important role in mitigating the levels of harm of a risk. In real world scenarios, it is a big challenge for risk analysts to make a proper and comprehensive decision when coping with risks that are incomplete, vague and fuzzy. Many established fuzzy risk analysis approaches do not have the flexibility to deal with knowledge in the form of preferences elicitation which lead to incorrect risk decision. The inefficiency is reflected when they consider only risk analyst preferences elicitation that is partially known. Nonetheless, the preferences elicited by the risk analyst are often non-homogeneous in nature such that they can be completely known, completely unknown, partially known and partially unknown. In this case, established fuzzy risk analysis methods are considered as inefficient in handling risk, hence an appropriate fuzzy risk analysis method that can deal with the non-homogeneous nature of risk analyst’s preferences elicitation is worth developing. Therefore, this paper proposes a novel fuzzy risk analysis method that is capable to deal with the non-homogeneous risk analyst’s preferences elicitation based on grey numbers. The proposed method aims at resolving the uncertain interactions between homogeneous and non-homogeneous natures of risk analyst’s preferences elicitation by using a novel consensus reaching approach that involves transformation of grey numbers into grey parametric fuzzy numbers. Later on, a novel fuzzy risk assessment score approach is presented to correctly evaluate and distinguish the levels of harm of the risks faced, such that these evaluations are consistent with preferences elicitation of the risk analyst. A real world risk analysis problem in fiber industry is then carried out to demonstrate the novelty, validity and feasibility of the proposed method. |
| first_indexed | 2025-11-15T02:48:15Z |
| format | Article |
| id | ump-27766 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:48:15Z |
| publishDate | 2020 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-277662020-12-23T02:46:56Z http://umpir.ump.edu.my/id/eprint/27766/ Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry Ahmad Syafadhli, Abu Bakar Ku Muhammad Naim, Ku Khalif Asma, Ahmad Shariff Gegov, Alexander Fauzani, Md Salleh QA Mathematics TA Engineering (General). Civil engineering (General) TP Chemical technology Fuzzy risk analysis plays an important role in mitigating the levels of harm of a risk. In real world scenarios, it is a big challenge for risk analysts to make a proper and comprehensive decision when coping with risks that are incomplete, vague and fuzzy. Many established fuzzy risk analysis approaches do not have the flexibility to deal with knowledge in the form of preferences elicitation which lead to incorrect risk decision. The inefficiency is reflected when they consider only risk analyst preferences elicitation that is partially known. Nonetheless, the preferences elicited by the risk analyst are often non-homogeneous in nature such that they can be completely known, completely unknown, partially known and partially unknown. In this case, established fuzzy risk analysis methods are considered as inefficient in handling risk, hence an appropriate fuzzy risk analysis method that can deal with the non-homogeneous nature of risk analyst’s preferences elicitation is worth developing. Therefore, this paper proposes a novel fuzzy risk analysis method that is capable to deal with the non-homogeneous risk analyst’s preferences elicitation based on grey numbers. The proposed method aims at resolving the uncertain interactions between homogeneous and non-homogeneous natures of risk analyst’s preferences elicitation by using a novel consensus reaching approach that involves transformation of grey numbers into grey parametric fuzzy numbers. Later on, a novel fuzzy risk assessment score approach is presented to correctly evaluate and distinguish the levels of harm of the risks faced, such that these evaluations are consistent with preferences elicitation of the risk analyst. A real world risk analysis problem in fiber industry is then carried out to demonstrate the novelty, validity and feasibility of the proposed method. Springer 2020-01-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27766/1/Fuzzy%20risk%20analysis%20under%20influence%20of%20non-homogeneous.pdf Ahmad Syafadhli, Abu Bakar and Ku Muhammad Naim, Ku Khalif and Asma, Ahmad Shariff and Gegov, Alexander and Fauzani, Md Salleh (2020) Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. Applied Intelligence, 50 (1). pp. 157-168. ISSN 0924-669X. (Published) https://doi.org/10.1007/s10489-019-01508-2 https://doi.org/10.1007/s10489-019-01508-2 |
| spellingShingle | QA Mathematics TA Engineering (General). Civil engineering (General) TP Chemical technology Ahmad Syafadhli, Abu Bakar Ku Muhammad Naim, Ku Khalif Asma, Ahmad Shariff Gegov, Alexander Fauzani, Md Salleh Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title | Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title_full | Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title_fullStr | Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title_full_unstemmed | Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title_short | Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| title_sort | fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry |
| topic | QA Mathematics TA Engineering (General). Civil engineering (General) TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/27766/ http://umpir.ump.edu.my/id/eprint/27766/ http://umpir.ump.edu.my/id/eprint/27766/ http://umpir.ump.edu.my/id/eprint/27766/1/Fuzzy%20risk%20analysis%20under%20influence%20of%20non-homogeneous.pdf |