A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System
Electric power industry has been undergoing enormous transformations. Therefore, it is necessary to improve the security of electric power system and the decision capacity in the emergency process. As a complicated system, electric power system is affected by many factors, the reasoning of which can...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125914769/view |
| _version_ | 1811301235025772544 |
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| author | Xiaodi Liu Zengwen Wang Shitao Zhang Jiashu Liu |
| author_facet | Xiaodi Liu Zengwen Wang Shitao Zhang Jiashu Liu |
| author_sort | Xiaodi Liu |
| collection | DOAJ |
| description | Electric power industry has been undergoing enormous transformations. Therefore, it is necessary to improve the security of electric power system and the decision capacity in the emergency process. As a complicated system, electric power system is affected by many factors, the reasoning of which can be regarded as a process that combines intuition and cognition. Uncertainty characterizes human cognitive and reasoning processes. Several extensions of fuzzy cognitive map (FCM) model have been suggested to handle multifarious sources of uncertainty. Nevertheless, the uncertainty from human doubt may arise in the assignment of membership degrees, which is neglected in current FCMs. To deal with this problem, a novel approach based on hesitant fuzzy sets (HFSs) and FCMs, called hesitant fuzzy cognitive maps (HFCMs), is presented in this paper. The proposed method, which possesses the features of tackling hesitancy explicitly during the experts’ assessments, is demonstrated by an example on the analysis of risk factors affecting electric power system. It can provide a better simulation of the inherent uncertainty in real problems through the hesitancy represented in experts’ knowledge, and a what-if analysis for describing hesitant fuzzy scenario is well developed with the HFCM model. |
| first_indexed | 2024-04-13T07:05:15Z |
| format | Article |
| id | doaj.art-384be49cce5f4cd1ac761d90352186a0 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-13T07:05:15Z |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-384be49cce5f4cd1ac761d90352186a02022-12-22T02:57:01ZengSpringerInternational Journal of Computational Intelligence Systems1875-688310.2991/ijcis.d.190722.001A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power SystemXiaodi LiuZengwen WangShitao ZhangJiashu LiuElectric power industry has been undergoing enormous transformations. Therefore, it is necessary to improve the security of electric power system and the decision capacity in the emergency process. As a complicated system, electric power system is affected by many factors, the reasoning of which can be regarded as a process that combines intuition and cognition. Uncertainty characterizes human cognitive and reasoning processes. Several extensions of fuzzy cognitive map (FCM) model have been suggested to handle multifarious sources of uncertainty. Nevertheless, the uncertainty from human doubt may arise in the assignment of membership degrees, which is neglected in current FCMs. To deal with this problem, a novel approach based on hesitant fuzzy sets (HFSs) and FCMs, called hesitant fuzzy cognitive maps (HFCMs), is presented in this paper. The proposed method, which possesses the features of tackling hesitancy explicitly during the experts’ assessments, is demonstrated by an example on the analysis of risk factors affecting electric power system. It can provide a better simulation of the inherent uncertainty in real problems through the hesitancy represented in experts’ knowledge, and a what-if analysis for describing hesitant fuzzy scenario is well developed with the HFCM model.https://www.atlantis-press.com/article/125914769/viewFuzzy cognitive mapHesitant fuzzy setRisk factorsElectric power systemSimulation |
| spellingShingle | Xiaodi Liu Zengwen Wang Shitao Zhang Jiashu Liu A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System International Journal of Computational Intelligence Systems Fuzzy cognitive map Hesitant fuzzy set Risk factors Electric power system Simulation |
| title | A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System |
| title_full | A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System |
| title_fullStr | A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System |
| title_full_unstemmed | A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System |
| title_short | A Novel Approach to FCM Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System |
| title_sort | novel approach to fcm based on hesitant fuzzy sets for modeling risk impact on electric power system |
| topic | Fuzzy cognitive map Hesitant fuzzy set Risk factors Electric power system Simulation |
| url | https://www.atlantis-press.com/article/125914769/view |
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