{"title":"改进了基于分数的模糊软集决策方法","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":"{\"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}","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}
Improved score based decision making method by using fuzzy soft sets
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.
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