{"title":"基于广义约束传播的模糊逻辑推理","authors":"L. Zadeh","doi":"10.1109/ISMVL.1996.508358","DOIUrl":null,"url":null,"abstract":"The concept of a generalized constraint provides a basis for a significant generalization of inference processes in fuzzy logic. In this paper, generalized rules of inference for various values of r are formulated and illustrated by examples. The inference rules are interpreted as rules for generalized constraint propagation. Such rules provide a foundation for what might be called computing with words, or CW for short.","PeriodicalId":403347,"journal":{"name":"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Inference in fuzzy logic via generalized constraint propagation\",\"authors\":\"L. Zadeh\",\"doi\":\"10.1109/ISMVL.1996.508358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of a generalized constraint provides a basis for a significant generalization of inference processes in fuzzy logic. In this paper, generalized rules of inference for various values of r are formulated and illustrated by examples. The inference rules are interpreted as rules for generalized constraint propagation. Such rules provide a foundation for what might be called computing with words, or CW for short.\",\"PeriodicalId\":403347,\"journal\":{\"name\":\"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMVL.1996.508358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1996.508358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Inference in fuzzy logic via generalized constraint propagation
The concept of a generalized constraint provides a basis for a significant generalization of inference processes in fuzzy logic. In this paper, generalized rules of inference for various values of r are formulated and illustrated by examples. The inference rules are interpreted as rules for generalized constraint propagation. Such rules provide a foundation for what might be called computing with words, or CW for short.