{"title":"基于二类模糊软集的决策方法","authors":"Yaya Liu, K. Qin, Yang Xu","doi":"10.1109/ISKE.2015.65","DOIUrl":null,"url":null,"abstract":"By combining type-2 fuzzy set theory and soft set theory, the notion of type-2 fuzzy soft set theory is proposed. In other words, our type-2 fuzzy soft set theory is a type-2 fuzzy extension of the soft set theory. Some operations are defined on type-2 fuzzy soft sets. Two algorithms are given to solve decision making problems under complete type-2 fuzzy soft sets environment and incomplete type-2 fuzzy soft sets environment, respectively.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decision Making Approaches Based on Type 2 Fuzzy Soft Sets\",\"authors\":\"Yaya Liu, K. Qin, Yang Xu\",\"doi\":\"10.1109/ISKE.2015.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By combining type-2 fuzzy set theory and soft set theory, the notion of type-2 fuzzy soft set theory is proposed. In other words, our type-2 fuzzy soft set theory is a type-2 fuzzy extension of the soft set theory. Some operations are defined on type-2 fuzzy soft sets. Two algorithms are given to solve decision making problems under complete type-2 fuzzy soft sets environment and incomplete type-2 fuzzy soft sets environment, respectively.\",\"PeriodicalId\":312629,\"journal\":{\"name\":\"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2015.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2015.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision Making Approaches Based on Type 2 Fuzzy Soft Sets
By combining type-2 fuzzy set theory and soft set theory, the notion of type-2 fuzzy soft set theory is proposed. In other words, our type-2 fuzzy soft set theory is a type-2 fuzzy extension of the soft set theory. Some operations are defined on type-2 fuzzy soft sets. Two algorithms are given to solve decision making problems under complete type-2 fuzzy soft sets environment and incomplete type-2 fuzzy soft sets environment, respectively.