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Forecasting Model Based on Neutrosophic Logical Relationship and Jaccard Similarity

Hongjun GuanShuang GuanAiwu 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.