This paper proposes the fuzzy stock-screening model to select stocks in the portfolio. The screening rules consist of those regarding the price-earnings ratio, ...
[PDF] Comparison between Crisp and Fuzzy Stock- Screening Models
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This paper proposes the fuzzy stock-screening model to select stocks in the portfolio. The screening rules consist of those regarding the price-earnings ratio, ...
Our results indicate that the optimal solutions of the fuzzy model slightly fluctuate from the solutions of the crisp model (see Table 6). Hence, the research ...
Nov 24, 2023 · Moreover, for the first time in the literature, this work compares the FP rankings obtained using fuzzy MCDM methods with an objective benchmark ...
Missing: Screening | Show results with:Screening
Results stated that a fuzzy model works better than a crisp model, and an all-units discount policy helps in maximizing a retailer's profit. It allows for ...
The existing approaches to fuzzy interval comparison may be clustered into three groups: methods of only qualitative fuzzy and crisp intervals ordering [3], [4] ...
Missing: Screening | Show results with:Screening
To this effect, in this paper we explore the differences in using a classical crisp rule-based approach and a fuzzy rule-based approach for the reasoning within ...
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The crisp set utilizes the bi-valued logic. In contrast, the fuzzy set utilizes the infinite-valued logic. Crisp sets have elements with binary membership, ...
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Comparison between Crisp and Fuzzy Stock Screening Models. Conference Name, The 5th International Conference on Computational Intelligence in Economics and ...
Jun 4, 2012 · The purpose of this article is to show that fuzzy clustering yields a more refined classification and maybe more useful to organizations.
Missing: Screening | Show results with:Screening