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Forecasting Model Based on Neutrosophic Logical Relationship and Jaccard Similarity
Hongjun Guan
Shuang Guan
Aiwu Zhao
出版
Infinite Study
主題
Mathematics / Algebra / General
URL
http://books.google.com.hk/books?id=9mqdDwAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
The daily fluctuation trends of a stock market are illustrated by three statuses: up, equal, and down. These can be represented by a neutrosophic set which consists of three functions—truth-membership, indeterminacy-membership, and falsity-membership. In this paper, we propose a novel forecasting model based on neutrosophic set theory and the fuzzy logical relationships between the status of historical and current values. Firstly, the original time series of the stock market is converted to a fluctuation time series by comparing each piece of data with that of the previous day.