{"title":"Application of Fuzzy Logic in Agricultural Systems: A Review","authors":"M. Pourjafar, M. Mazloomzadeh","doi":"10.21013/jas.v8.n3.p1","DOIUrl":null,"url":null,"abstract":"Fuzzy logic is a development of Boolean logic dealing with the meaning of sectional truth. Whiles classical logic holds that everything can be expressed in double terms (0 or 1, black or white, yes or no). Fuzzy logic permits the use of linguistic values of variables and ambiguous relationships for modeling system treatment and it is a strong concept for handling time-varying, non-linear and adaptive systems. Because of need to improving agricultural systems and enhancing the farmer's income, the current study presents a review of fuzzy logic literature, applications to agricultural systems and fuzzy modeling techniques. One example has been expressed the steps of building a fuzzy model and consider the strategies for improving of agricultural systems.","PeriodicalId":14487,"journal":{"name":"IRA-International Journal of Applied Sciences","volume":"31 1","pages":"73-82"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRA-International Journal of Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21013/jas.v8.n3.p1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Fuzzy logic is a development of Boolean logic dealing with the meaning of sectional truth. Whiles classical logic holds that everything can be expressed in double terms (0 or 1, black or white, yes or no). Fuzzy logic permits the use of linguistic values of variables and ambiguous relationships for modeling system treatment and it is a strong concept for handling time-varying, non-linear and adaptive systems. Because of need to improving agricultural systems and enhancing the farmer's income, the current study presents a review of fuzzy logic literature, applications to agricultural systems and fuzzy modeling techniques. One example has been expressed the steps of building a fuzzy model and consider the strategies for improving of agricultural systems.