{"title":"Improved score based decision making method by using fuzzy soft sets","authors":"Yaya Liu, Rosa M. Rodríguez, K. Qin, L. Martínez","doi":"10.1142/9789813273238_0030","DOIUrl":null,"url":null,"abstract":"Popular decision making methods by using fuzzy soft sets belong to two main categories, namely, score-based methods and fuzzy choice values based methods. It is necessary an application background to choose which one is better, since each of them makes sense in specific decision making situations and both of them could be improved. Therefore, in this contribution we focus on improving the former one. To improve the score based method, it is provided a novel adjustable algorithm by using fuzzy soft set that introduces thresholds when comparing two membership function values and afterwards coming up with new concepts of scores.","PeriodicalId":259425,"journal":{"name":"Data Science and Knowledge Engineering for Sensing Decision Support","volume":"41 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Science and Knowledge Engineering for Sensing Decision Support","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789813273238_0030","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
Popular decision making methods by using fuzzy soft sets belong to two main categories, namely, score-based methods and fuzzy choice values based methods. It is necessary an application background to choose which one is better, since each of them makes sense in specific decision making situations and both of them could be improved. Therefore, in this contribution we focus on improving the former one. To improve the score based method, it is provided a novel adjustable algorithm by using fuzzy soft set that introduces thresholds when comparing two membership function values and afterwards coming up with new concepts of scores.