Forecasting Model Based On Neutrosophic Logical Relationship And Jaccard Similarity
Download Forecasting Model Based On Neutrosophic Logical Relationship And Jaccard Similarity PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Forecasting Model Based On Neutrosophic Logical Relationship And Jaccard Similarity book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Forecasting Model Based on Neutrosophic Logical Relationship and Jaccard Similarity
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.
Forecasting Model Based on Neutrosophic Logical Relationship and Jaccard Similarity
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.
A Forecasting Model Based on Multi-Valued Neutrosophic Sets and Two-Factor, Third-Order Fuzzy Fluctuation Logical Relationships
Making predictions according to historical values has long been regarded as common practice by many researchers. However, forecasting solely based on historical values could lead to inevitable over-complexity and uncertainty due to the uncertainties inside, and the random influence outside, of the data.