{"title":"感官评价模糊统计的数学计算","authors":"A. Santhakumaran, C. Abirami","doi":"10.6186/IJIMS.2016.27.1.5","DOIUrl":null,"url":null,"abstract":"Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"15 1","pages":"73-85"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical Computation of Fuzzy Statistics for Sensory Evaluation\",\"authors\":\"A. Santhakumaran, C. Abirami\",\"doi\":\"10.6186/IJIMS.2016.27.1.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.\",\"PeriodicalId\":39953,\"journal\":{\"name\":\"International Journal of Information and Management Sciences\",\"volume\":\"15 1\",\"pages\":\"73-85\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6186/IJIMS.2016.27.1.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6186/IJIMS.2016.27.1.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Mathematical Computation of Fuzzy Statistics for Sensory Evaluation
Sensory evaluation is an essential need for accepting processed food products having desired quality specifications. Human perceived sensation depends on physiological and physical properties of food as well as demographic characters of consumers. In this paper, a mathematical computation method of fuzzy statistics for sensory evaluation is proposed. It illustrates the quality of sensory variables such as color, texture, flavor, taste etc. of a product with consumers’ demographic characters on a hedonic scale.
期刊介绍:
- Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence