首页> 外文会议>International Conference on Soft Computing for Problem Solving >A Computational Method of Forecasting Based on Intuitionistic Fuzzy Sets and Fuzzy Time Series
【24h】

A Computational Method of Forecasting Based on Intuitionistic Fuzzy Sets and Fuzzy Time Series

机译:基于直觉模糊集和模糊时间序列的预测计算方法

获取原文

摘要

There are various methods established on time series data having linguistic values for forecasting the future values with the help of fuzzy time series forecasting. However, the major problem in fuzzy time series forecasting is the accuracy in the forecasted values. In the present paper we propose a computational method of forecasting for fuzzy time series. In the proposed method the notion of intuitionistic fuzzy set is used in fuzzy time series forecasting with simplified computational approach. The proposed method is implemented to forecast the movement of share market prices of State Bank of India (SBI) at Bombay Stock Exchange (BSE), India.
机译:在时间序列数据中建立了各种方法,该数据具有用于在模糊时间序列预测的帮助下预测未来值的语言值。然而,模糊时间序列预测中的主要问题是预测值中的准确性。在本文中,我们提出了一种对模糊时间序列预测的计算方法。在所提出的方法中,直觉模糊集的概念用于模糊时间序列预测,简化计算方法。拟议的方法是实施,以预测印度国家银行(SBI)的股票市场价格在印度孟买联交所(BSE)。

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