{"title":"ISM Band Antenna Design Based on Fuzzy MCDM Selection Technique","authors":"S. Yeung, K. Man, W. Chan","doi":"10.1109/MCDM.2007.369437","DOIUrl":null,"url":null,"abstract":"A design methodology of an ISM band folded patch antenna is presented in this paper. The antenna is designed for covering three ISM band at 2.400-2.480 GHz, 5.150-5.350 GHz, and 5.725-5.825 GHz, which is ideally suitable for short-range wireless applications. Jumping genes evolutionary algorithm is used for optimizing the antenna performance, and the non-dominated solution set of antenna dimensional parameters is obtained. Then, a fuzzy-based multiattribute decision method is designed for selecting the most suitable antenna solution in the non-dominated solution set. Finally, the selection solution is compared with the other solutions for demonstrating the effectiveness of the scheme","PeriodicalId":306422,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCDM.2007.369437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A design methodology of an ISM band folded patch antenna is presented in this paper. The antenna is designed for covering three ISM band at 2.400-2.480 GHz, 5.150-5.350 GHz, and 5.725-5.825 GHz, which is ideally suitable for short-range wireless applications. Jumping genes evolutionary algorithm is used for optimizing the antenna performance, and the non-dominated solution set of antenna dimensional parameters is obtained. Then, a fuzzy-based multiattribute decision method is designed for selecting the most suitable antenna solution in the non-dominated solution set. Finally, the selection solution is compared with the other solutions for demonstrating the effectiveness of the scheme