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International Journal of Fuzzy Logic and Intelligent Systems最新文献

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Development of an Autonomous Mobile Robot Platform for Smart Farms 智能农场自主移动机器人平台的开发
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-06-30 DOI: 10.5391/ijfis.2023.23.2.107
Y. Ryoo
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引用次数: 0
On Fuzzy Point Applications of Fuzzy Topological Spaces 关于模糊拓扑空间的模糊点应用
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-06-30 DOI: 10.5391/ijfis.2023.23.2.162
R. Abu-Gdairi, A. Nasef, M. A. El-Gayar, M. El-Bably
{"title":"On Fuzzy Point Applications of Fuzzy Topological Spaces","authors":"R. Abu-Gdairi, A. Nasef, M. A. El-Gayar, M. El-Bably","doi":"10.5391/ijfis.2023.23.2.162","DOIUrl":"https://doi.org/10.5391/ijfis.2023.23.2.162","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43731214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Effective Fuzzy Soft Expert Set Theory and Its Applications 有效的模糊软专家集理论及其应用
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-06-30 DOI: 10.5391/ijfis.2023.23.2.192
Shawkat Alkhazaleh, Emadeddin Beshtawi
{"title":"Effective Fuzzy Soft Expert Set Theory and Its Applications","authors":"Shawkat Alkhazaleh, Emadeddin Beshtawi","doi":"10.5391/ijfis.2023.23.2.192","DOIUrl":"https://doi.org/10.5391/ijfis.2023.23.2.192","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42273014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Pythagorean Fuzzy G* Compact Space to Identify the Preferred City to Live in India 应用勾股模糊G*紧致空间确定印度首选居住城市
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-06-30 DOI: 10.5391/ijfis.2023.23.2.152
N. B. Gnanachristy, G. Revathi
{"title":"Application of Pythagorean Fuzzy G* Compact Space to Identify the Preferred City to Live in India","authors":"N. B. Gnanachristy, G. Revathi","doi":"10.5391/ijfis.2023.23.2.152","DOIUrl":"https://doi.org/10.5391/ijfis.2023.23.2.152","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48717499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Soft ωb-Openness and Soft b-Lindelofness Soft ωb-开放性和Soft ω - lindelofness
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-06-30 DOI: 10.5391/ijfis.2023.23.2.181
S. Ghour
{"title":"Soft ωb-Openness and Soft b-Lindelofness","authors":"S. Ghour","doi":"10.5391/ijfis.2023.23.2.181","DOIUrl":"https://doi.org/10.5391/ijfis.2023.23.2.181","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43599174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent and Fuzzy Systems: Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 2 智能和模糊系统:智能和可持续的未来INFUS 2023会议论文集，第2卷
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39777-6
{"title":"Intelligent and Fuzzy Systems: Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 2","authors":"","doi":"10.1007/978-3-031-39777-6","DOIUrl":"https://doi.org/10.1007/978-3-031-39777-6","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"107 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78262366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent and Fuzzy Systems: Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1 智能和模糊系统:智能和可持续的未来INFUS 2023会议论文集，卷1
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39774-5
{"title":"Intelligent and Fuzzy Systems: Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1","authors":"","doi":"10.1007/978-3-031-39774-5","DOIUrl":"https://doi.org/10.1007/978-3-031-39774-5","url":null,"abstract":"","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"34 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74629609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Consensus Model for Group Decision Making with Hesitant Fuzzy Information 模糊犹豫信息下群体决策的共识模型
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2022-10-31 DOI: 10.5121/ijfls.2022.12401
Zhiming Zhang, Chao Wang, Xuedong Tian
{"title":"A Consensus Model for Group Decision Making with Hesitant Fuzzy Information","authors":"Zhiming Zhang, Chao Wang, Xuedong Tian","doi":"10.5121/ijfls.2022.12401","DOIUrl":"https://doi.org/10.5121/ijfls.2022.12401","url":null,"abstract":"This article presents a more improved consensus-based method for dealing with multi-person decision making (MPDM) that uses hesitant fuzzy preference relations (HFPRís) that arenít in the usual format. We proposed a Lukasiewicz transitivity (TL-transitivity)-based technique for establishing normalised hesitant fuzzy preference relations (NHFPRís) at the most essential level, after that, a model based on consensus is constructed. After that, a transitive closure formula is created in order to build TL -consistent hesitant fuzzy preference relations (HFPRís) and symmetrical matrices. Afterwards, a consistency analysis is performed to determine the degree of consistency of the data given by the decision makers (DMs), as a result, the consistency weights must be assigned to them. After combining consistency weights and preset(predeÖned) priority weights, the Önal priority weights vector of DMs is obtained (if there are any). The consensus process determines either data analysis and selection of a suitable alternative should be done directly or externally. The enhancement process aims to improve the DMís consensus measure, despite the implementation of an indicator for locating sluggish points, in the circumstance that an unfavorable agreement is achieved. Finally, a comparison case demonstrates the relevance and e§ectiveness of the proposed system. The conclusions indicate that the suggested strategy can provide insight into the MPDM system.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"42 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79153365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Fuzzy Control of a Servomechanism: Practical Approach using Mamdani and Takagi- Sugeno Controllers 伺服机构的模糊控制:使用Mamdani和Takagi- Sugeno控制器的实用方法
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-10-30 DOI: 10.5121/ijfls.2021.11402
Renato A. Aguiar, Izabella Sirqueira
{"title":"Fuzzy Control of a Servomechanism: Practical Approach using Mamdani and Takagi- Sugeno Controllers","authors":"Renato A. Aguiar, Izabella Sirqueira","doi":"10.5121/ijfls.2021.11402","DOIUrl":"https://doi.org/10.5121/ijfls.2021.11402","url":null,"abstract":"The main objective of this work is to propose two fuzzy controllers: one based on the Mamdani inference method and another controller based on the Takagi- Sugeno inference method, both will be designed for application in a position control system of a servomechanism. Some comparations between the methods mentioned above will be made with regard to the performance of the system in order to identify the advantages of the Takagi- Sugeno method in relation to the Mamdani method in the presence of disturbances and nonlinearities of the system. Some results of simulation and practical application are presented and results obtained showed that controllers based on Takagi- Sugeno method is more efficient than controllers based on Mamdani method for this specific application.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"77 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86972045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DDoS Attack Detection on Internet o Things using Unsupervised Algorithms 基于无监督算法的物联网DDoS攻击检测
IF 1.3
International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-10-30 DOI: 10.5121/ijfls.2021.11401
Hailye Tekleselase
{"title":"DDoS Attack Detection on Internet o Things using Unsupervised Algorithms","authors":"Hailye Tekleselase","doi":"10.5121/ijfls.2021.11401","DOIUrl":"https://doi.org/10.5121/ijfls.2021.11401","url":null,"abstract":"The increase in the deployment of IoT networks has improved productivity of humans and organisations. However, IoT networks are increasingly becoming platforms for launching DDoS attacks due to inherent weaker security and resource-constrained nature of IoT devices. This paper focusses on detecting DDoS attack in IoT networks by classifying incoming network packets on the transport layer as either “Suspicious” or “Benign” using unsupervised machine learning algorithms. In this work, two deep learning algorithms and two clustering algorithms were independently trained for mitigating DDoS attacks. We lay emphasis on exploitation based DDOS attacks which include TCP SYN-Flood attacks and UDP-Lag attacks. We use Mirai, BASHLITE and CICDDoS2019 dataset in training the algorithms during the experimentation phase. The accuracy score and normalized-mutual-information score are used to quantify the classification performance of the four algorithms. Our results show that the autoencoder performed overall best with the highest accuracy across all the datasets.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"73 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72672776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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