Ren Dong, Shen Jun, Shu-feng Ren, Mayumi Kai, Yang Xinting
{"title":"AN IMPROVED BOOSTING-BIPLS MODELS BASED ON WEIGHT ADJUSTMENT FOR SOIL HEAVY METAL CONTENT PREDICTION","authors":"Ren Dong, Shen Jun, Shu-feng Ren, Mayumi Kai, Yang Xinting","doi":"10.2316/J.2021.206-0615","DOIUrl":"https://doi.org/10.2316/J.2021.206-0615","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"38 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78093026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A FUSION MEASUREMENT METHOD FOR NANO-DISPLACEMENT BASED ON KALMAN FILTER AND NEURAL NETWORK","authors":"","doi":"10.2316/j.2021.206-0421","DOIUrl":"https://doi.org/10.2316/j.2021.206-0421","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68648919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RELIABILITY EVALUATION OF BRIDGES THE RESPONSE SURFACE METHOD AND THE BAYESIAN MODIFICATION METHOD","authors":"Lei Fu, Li Xiang, Bojian Xu, Jiakuan Shi","doi":"10.2316/J.2021.206-0540","DOIUrl":"https://doi.org/10.2316/J.2021.206-0540","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"3 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90302547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"OBSTACLE AVOIDANCE FOR MULTI-UAV SYSTEM WITH OPTIMIZED ARTIFICIAL POTENTIAL FIELD ALGORITHM","authors":"Yuehao Yan, Zhiying Lv, Jinbiao Yuan, Shufeng Zhang","doi":"10.2316/J.2021.206-0610","DOIUrl":"https://doi.org/10.2316/J.2021.206-0610","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"97 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85900555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A STRESS DAMAGE ASSESSMENT METHOD OF STEEL BARS IN CONCRETE STRUCTURES BASED ON MMM","authors":"Lei Liu, Qi-Wei Xia, Ya Li, Y. Qu","doi":"10.2316/J.2021.206-0542","DOIUrl":"https://doi.org/10.2316/J.2021.206-0542","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"2 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90490351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuehao Yan, Zhiying Lv, Ping Huang, Jinbiao Yuan, Hao-cheng Long
Unmanned aerial vehicles (UAVs) can carry out more and more dangerous missions and strike deep in the skies over hostile military sites. Thus, selecting appropriate UAVs to attend combat through rapid assessment is a hot topic in current research. In consideration of formulating practical evaluation as a three-way multiple attribute decision making (MADM) problem, a comprehensive assessment method based on interval-valued intuitionistic fuzzy set (IVIFs) is introduced under the context of determining the precision combat mission. First, the critical attributes of the UAV combat effectiveness are determined according to battlefield intelligence. Second, the attribute weights are computed by exploring the feature information of attribute orders given by experts. Third, the conditional probto collect more information to reach decision conclusions. It is a new research to combine a three-way decision algorithm and multiple attribute decision making (MADM) [13] [17] in recent years. This hybrid method can consider both the MADM matrix and di erent loss functions for individual UAVs. In the application of decision, it is di cult for experts to give an accurate assessment with exact numbers due to the complexity of the battle. The denition of the intuitionistic fuzzy set (IFs) as an extension of the fuzzy number [18] [20] was proposed by Atanassov, in which both membership and non-membership degrees were introduced. As a further extension of IFs, Atanassov and Gargov proposed the concept of interval-valued intuitionistic fuzzy set (IVIFs) [21] [29]. It is clear that IVIFs enables experts to give preference judgments on UAV performance through interval-valued membership degrees to reduce errors. In this paper, the UAV evaluation method is given as a three-way MADM problem with IVIFs. First, a general attribute framework is constructed by discussing the inuence factors on UAV performance and the battle information, and a method to determine the weight of attribute is given based on the superiority index of attribute. Second, IVIFs is used for the subjective judgment of the proposed method, and the conditional probability that the UAV can be selected is calculated based on MADM. Third, the classication of UAVs is obtained combined with the given loss functions of individual UAVs. Finally, a numerical example further illustrates the e ectiveness and advantage of the proposed method. This paper is the rst attempt to study the selection of UAVs based on the three-way MADM under the IVIFs environment. The other sections are set out as follows. Section 2 proposes the evaluation system of UAVs combat e ectiveness. In Section 3, we briey describe the proposed UAVs evaluation model based on a new three-way MADM method with IVIFs. A case study about the UAV selection in a battle shows the applicability and power of the introduced methodology in Section 4. Finally, concluding remarks and future directions are presented in Section 5. 2. Evaluation System of Unm
{"title":"RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION","authors":"Yuehao Yan, Zhiying Lv, Ping Huang, Jinbiao Yuan, Hao-cheng Long","doi":"10.2316/J.2021.206-0605","DOIUrl":"https://doi.org/10.2316/J.2021.206-0605","url":null,"abstract":"Unmanned aerial vehicles (UAVs) can carry out more and more dangerous missions and strike deep in the skies over hostile military sites. Thus, selecting appropriate UAVs to attend combat through rapid assessment is a hot topic in current research. In consideration of formulating practical evaluation as a three-way multiple attribute decision making (MADM) problem, a comprehensive assessment method based on interval-valued intuitionistic fuzzy set (IVIFs) is introduced under the context of determining the precision combat mission. First, the critical attributes of the UAV combat effectiveness are determined according to battlefield intelligence. Second, the attribute weights are computed by exploring the feature information of attribute orders given by experts. Third, the conditional probto collect more information to reach decision conclusions. It is a new research to combine a three-way decision algorithm and multiple attribute decision making (MADM) [13]\u0085[17] in recent years. This hybrid method can consider both the MADM matrix and di erent loss functions for individual UAVs. In the application of decision, it is di cult for experts to give an accurate assessment with exact numbers due to the complexity of the battle. The denition of the intuitionistic fuzzy set (IFs) as an extension of the fuzzy number [18]\u0085[20] was proposed by Atanassov, in which both membership and non-membership degrees were introduced. As a further extension of IFs, Atanassov and Gargov proposed the concept of interval-valued intuitionistic fuzzy set (IVIFs) [21]\u0085[29]. It is clear that IVIFs enables experts to give preference judgments on UAV performance through interval-valued membership degrees to reduce errors. In this paper, the UAV evaluation method is given as a three-way MADM problem with IVIFs. First, a general attribute framework is constructed by discussing the inuence factors on UAV performance and the battle information, and a method to determine the weight of attribute is given based on the superiority index of attribute. Second, IVIFs is used for the subjective judgment of the proposed method, and the conditional probability that the UAV can be selected is calculated based on MADM. Third, the classication of UAVs is obtained combined with the given loss functions of individual UAVs. Finally, a numerical example further illustrates the e ectiveness and advantage of the proposed method. This paper is the rst attempt to study the selection of UAVs based on the three-way MADM under the IVIFs environment. The other sections are set out as follows. Section 2 proposes the evaluation system of UAVs combat e ectiveness. In Section 3, we briey describe the proposed UAVs evaluation model based on a new three-way MADM method with IVIFs. A case study about the UAV selection in a battle shows the applicability and power of the introduced methodology in Section 4. Finally, concluding remarks and future directions are presented in Section 5. 2. Evaluation System of Unm","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68649036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS","authors":"Panpan Dong, Bencan Gong, Peng-Chung Chen, Wenqiang Wu","doi":"10.2316/J.2021.206-0619","DOIUrl":"https://doi.org/10.2316/J.2021.206-0619","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"108 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81603025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junxin Wang, Weicheng Wang, Feixiong Yang, Lei Chen
{"title":"EXPERIMENTAL RESEARCH ON ULTIMATE BEARING CAPACITY OF A COMPOSITE ARCH RING CONSIDERING SECONDARY STRESS","authors":"Junxin Wang, Weicheng Wang, Feixiong Yang, Lei Chen","doi":"10.2316/J.2021.206-0537","DOIUrl":"https://doi.org/10.2316/J.2021.206-0537","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"13 1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84085254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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