首页> 外文期刊>Public Policy and Administration Research >Statistic Correlation Technique, MEMCDM Non-Numerical and Fuzzy System for Collaboration Determining of Dominant Factors of National Palm Oil Stock
【24h】

Statistic Correlation Technique, MEMCDM Non-Numerical and Fuzzy System for Collaboration Determining of Dominant Factors of National Palm Oil Stock

机译:统计相关技术,MEMCDM非数值和模糊系统协同确定国家棕榈油库存的主要因素

获取原文
           

摘要

Palm oil is the strategic commodities of the world and domestic of Indonesia. Indonesia is the biggest exporter of palm oil since 2006. As the biggest exporter, Indonesia can not be a price maker in international market. Besides Indonesia palm oil factory can not absorb all of crude palm oil production. This condition can disturbed to domestic crude palm oil stock and national foreign exchange or dollar when crude palm oil export decline. Therefor finding dominant factors of detect variable of stock problems are very important. The dominant factors is found by literature study then be equipped by historical data of annual periods. Statistical Pearson correlation and multi-pexpert multi-criteria decision making (MEMCDM) non-numerical are used to test and to verify correlation the dominant factors of national crude palm oil stock, and then fuzzy system is used to judge the dominant factors.
机译:棕榈油是印度尼西亚世界和本国的战略商品。印度尼西亚是2006年以来最大的棕榈油出口国。作为最大的出口国,印度尼西亚不能成为国际市场上的价格制定者。此外,印尼棕榈油厂无法吸收全部的粗棕榈油产量。当原油棕榈油出口下降时,这种情况可能会干扰国内原油棕榈油库存和国家外汇或美元。因此,发现检测库存问题变量的主导因素非常重要。主导因素通过文献研究发现,然后以年度历史数据为依据。采用统计Pearson相关和非数值多专家多准则决策(MEMCDM)检验和验证相关性,以国家棕榈油库存的主要因素为依据,然后使用模糊系统判断主要因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号