Pub Date : 2020-11-27DOI: 10.1108/ijicc-06-2020-0067
Mingwei Lin, Yanqiu Chen, Riqing Chen
PurposeThe purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand their historical progress and current situation, as well as future development trend.Design/methodology/approachFirst, this paper describes the fundamental information of these publications on PFSs, including their data information, annual trend and prediction and basic features. Second, the most productive and influential authors, countries/regions, institutions and the most cited documents are presented in the form of evaluation indicators. Third, with the help of VOSviewer software, the visualization analysis is conducted to show the development status of PFSs publications at the level of authors, countries/regions, institutions and keywords. Finally, the burst detection of keywords, timezone review and timeline review are exported from CiteSpace software to analyze the hotspots and development trend on PFSs.FindingsThe annual PFSs publications present a quickly increasing trend. The most productive author is Wei Guiwu (China). Wei Guiwu and Wei Cun have the strongest cooperative relationship.Research limitations/implicationsThe implication of this study is to provide a comprehensive perspective for the scholars who take a fancy to PFSs, and it is valuable for scholars to grasp the hotspots in this field in time.Originality/valueIt is the first paper that uses the bibliometric analysis to comprehensively analyze the publications on PFSs. It can help the scholars in the field of PFSs to quickly understand the development status and trend of PFSs.
{"title":"Bibliometric analysis on Pythagorean fuzzy sets during 2013–2020","authors":"Mingwei Lin, Yanqiu Chen, Riqing Chen","doi":"10.1108/ijicc-06-2020-0067","DOIUrl":"https://doi.org/10.1108/ijicc-06-2020-0067","url":null,"abstract":"PurposeThe purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand their historical progress and current situation, as well as future development trend.Design/methodology/approachFirst, this paper describes the fundamental information of these publications on PFSs, including their data information, annual trend and prediction and basic features. Second, the most productive and influential authors, countries/regions, institutions and the most cited documents are presented in the form of evaluation indicators. Third, with the help of VOSviewer software, the visualization analysis is conducted to show the development status of PFSs publications at the level of authors, countries/regions, institutions and keywords. Finally, the burst detection of keywords, timezone review and timeline review are exported from CiteSpace software to analyze the hotspots and development trend on PFSs.FindingsThe annual PFSs publications present a quickly increasing trend. The most productive author is Wei Guiwu (China). Wei Guiwu and Wei Cun have the strongest cooperative relationship.Research limitations/implicationsThe implication of this study is to provide a comprehensive perspective for the scholars who take a fancy to PFSs, and it is valuable for scholars to grasp the hotspots in this field in time.Originality/valueIt is the first paper that uses the bibliometric analysis to comprehensively analyze the publications on PFSs. It can help the scholars in the field of PFSs to quickly understand the development status and trend of PFSs.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"1 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/ijicc-06-2020-0067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42496322","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}
Pub Date : 2019-09-01DOI: 10.6025/jic/2019/10/3/97-101
Xue-rui Wang, Yan Zhou
{"title":"Study on the Application of Neural Network in the Computer Network Security Evaluation","authors":"Xue-rui Wang, Yan Zhou","doi":"10.6025/jic/2019/10/3/97-101","DOIUrl":"https://doi.org/10.6025/jic/2019/10/3/97-101","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"61 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75784962","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}
Pub Date : 2019-06-01DOI: 10.6025/jic/2019/10/2/60-65
Kristian Fatur
{"title":"Braincrafting: Why Playing Video Games is Good for you","authors":"Kristian Fatur","doi":"10.6025/jic/2019/10/2/60-65","DOIUrl":"https://doi.org/10.6025/jic/2019/10/2/60-65","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"30 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81579800","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}
Pub Date : 2019-06-01DOI: 10.6025/jic/2019/10/2/66-76
Samieksha Sharma Akanksha Gupta
{"title":"Predictive Analysis of Air Pollution using Collaborative Filtering Prediction Algorithm","authors":"Samieksha Sharma Akanksha Gupta","doi":"10.6025/jic/2019/10/2/66-76","DOIUrl":"https://doi.org/10.6025/jic/2019/10/2/66-76","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"115 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85753732","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}
Pub Date : 2019-06-01DOI: 10.6025/jic/2019/10/2/55-59
Kristian Elersi
{"title":"The Other Side of Neurotechnologies","authors":"Kristian Elersi","doi":"10.6025/jic/2019/10/2/55-59","DOIUrl":"https://doi.org/10.6025/jic/2019/10/2/55-59","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"2005 31","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72617497","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}
Pub Date : 2019-03-01DOI: 10.6025/JIC/2019/10/1/34-45
F. E. Chaves, T. P. D. Araujo, J. E. B. Maia
{"title":"Facial Expression Recognition: A Cross-Database Evaluation of Features and Classifiers","authors":"F. E. Chaves, T. P. D. Araujo, J. E. B. Maia","doi":"10.6025/JIC/2019/10/1/34-45","DOIUrl":"https://doi.org/10.6025/JIC/2019/10/1/34-45","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"106 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91155130","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}
Pub Date : 2019-03-01DOI: 10.6025/jic/2019/10/1/1-14
P. Nagalashmi
: In recent days, data growth is enormous and tough to handle it, in an oragnised manner and in apt time. In data mining, wide range of researches are available for managing data effectively. Document clustering is a spirited zone in data mining and here our main objective is to assemble the related documents. In this paper, we generate an algorithm for clustering by means of Adaptive Pillar K-Means and Gaussian Firefly Algorithm. For determining the proper centroid in order to attain the proper clustered documents, Adaptive Pillar K-means algorithm is utilized. Subsequently, Gaussian firefly algorithm is exploited for the optimization process and also for enhancing the precision that results in reducing the sum of squared errors and computational time. Here, the performance of the proposed methodology is compared with various algorithms such as Genetic Algorithm, Ant colony optimization and gravity clustering. The attained results show the performance of the proposed methodology and the simulation results illustrated the betterment in quality with low sum of squared errors.
{"title":"Hierarchical Document Clustering via Optimal Centroid Selection using Adaptive Pillar K-means – Gaussian Firefly Algorithm","authors":"P. Nagalashmi","doi":"10.6025/jic/2019/10/1/1-14","DOIUrl":"https://doi.org/10.6025/jic/2019/10/1/1-14","url":null,"abstract":": In recent days, data growth is enormous and tough to handle it, in an oragnised manner and in apt time. In data mining, wide range of researches are available for managing data effectively. Document clustering is a spirited zone in data mining and here our main objective is to assemble the related documents. In this paper, we generate an algorithm for clustering by means of Adaptive Pillar K-Means and Gaussian Firefly Algorithm. For determining the proper centroid in order to attain the proper clustered documents, Adaptive Pillar K-means algorithm is utilized. Subsequently, Gaussian firefly algorithm is exploited for the optimization process and also for enhancing the precision that results in reducing the sum of squared errors and computational time. Here, the performance of the proposed methodology is compared with various algorithms such as Genetic Algorithm, Ant colony optimization and gravity clustering. The attained results show the performance of the proposed methodology and the simulation results illustrated the betterment in quality with low sum of squared errors.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"35 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89390363","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}
Pub Date : 2018-12-01DOI: 10.6025/jic/2018/9/4/157-165
F. J. A. Maia, J. Maia, T. P. D. Araujo
{"title":"Detection of the Presence of Safety Helmets on Motorcyclists Using Active Appearance Models","authors":"F. J. A. Maia, J. Maia, T. P. D. Araujo","doi":"10.6025/jic/2018/9/4/157-165","DOIUrl":"https://doi.org/10.6025/jic/2018/9/4/157-165","url":null,"abstract":"","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"63 6 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88843635","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}
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