{"title":"干旱管理中冲突消解的模糊冲突测度","authors":"R. Giordano","doi":"10.1109/CIMSA.2010.5611765","DOIUrl":null,"url":null,"abstract":"In the real world, environmental decision-making takes place in a highly interconnected environment, in which neither the decisional ramifications of a management action, nor the complexity of its impact, can be neglected. A fuzzy conflict measure is proposed in this contribution to support drought management. The proposed approach allows to detect, analyse and measure conflicts between the different actors involved in drought management, and to support the process of conflict dissolution.","PeriodicalId":162890,"journal":{"name":"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy conflict measure for conflict dissolution in drought management\",\"authors\":\"R. Giordano\",\"doi\":\"10.1109/CIMSA.2010.5611765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the real world, environmental decision-making takes place in a highly interconnected environment, in which neither the decisional ramifications of a management action, nor the complexity of its impact, can be neglected. A fuzzy conflict measure is proposed in this contribution to support drought management. The proposed approach allows to detect, analyse and measure conflicts between the different actors involved in drought management, and to support the process of conflict dissolution.\",\"PeriodicalId\":162890,\"journal\":{\"name\":\"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications\",\"volume\":\"212 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMSA.2010.5611765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSA.2010.5611765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy conflict measure for conflict dissolution in drought management
In the real world, environmental decision-making takes place in a highly interconnected environment, in which neither the decisional ramifications of a management action, nor the complexity of its impact, can be neglected. A fuzzy conflict measure is proposed in this contribution to support drought management. The proposed approach allows to detect, analyse and measure conflicts between the different actors involved in drought management, and to support the process of conflict dissolution.