Classifications of artificial intelligence trading systems by using WASPAS approach based on picture fuzzy soft aggregation operators.
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| Title: | Classifications of artificial intelligence trading systems by using WASPAS approach based on picture fuzzy soft aggregation operators. |
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| Authors: | MAHMOOD, Tahir1 tahirbakhat@iiu.edu.pk, AHMMAD, Jabbar2 |
| Source: | Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi. Feb2026, Vol. 44 Issue 1, p23-41. 19p. |
| Subjects: | Aggregation operators, Electronic trading of securities, Sentiment analysis, Multiple criteria decision making, Decision making, Machine learning |
| Abstract: | Artificial intelligence stock trading uses machine learning, sentiment analysis, and advanced algorithmic forecasts to examine millions of details and carry out transactions at the lowest price. To reduce risks and increase returns, artificial intelligence traders also accurately and effectively assess future markets. A beneficial and original method for assessing or presenting the valuable decision from the accumulation of valuable information is the weighted aggregated sum product assessment approach. The notion of picture fuzzy soft set is dominant to intuitionistic fuzzy soft because it uses extra information in the form of abstinence grade that makes this structure more valuable and superior as compared to intuitionistic fuzzy soft set. It means that when data contains abstinence grade then the idea of intuitionistic fuzzy soft set fails to handle such kind of information. Moreover, in this case, the decision-making approach becomes limited. In many decision-making situations, we have to utilize a more advanced structure to avoid any kind of data loss. Hence in the case of an intuitionistic fuzzy soft set the chance of data loss increases. To avoid this kind of situation in decision-making scenarios, in this framework, we have delivered the notion of weighted averaging, ordered weighted averaging, weighted geometric, and ordered weighted geometric aggregation operators under the environment of a picture fuzzy soft set. Moreover, we have delivered properties like Idempotency, Boundedness, Shift-invariance and Homogeneity of these developed notions. We have delivered the WASPAS method for picture fuzzy soft information and employed this technique for the classification of artificial intelligence trading systems. Additionally, we provide a few scenarios using the multi-attribute decision-making technique to confirm and demonstrate the utilization of the aforementioned information and try to find the best artificial intelligence trading system. Additionally, to increase the value of the evaluated information, we compare the derived operators with a variety of currently used or existing methods. [ABSTRACT FROM AUTHOR] |
| Copyright of Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi is the property of Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192932683 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classifications of artificial intelligence trading systems by using WASPAS approach based on picture fuzzy soft aggregation operators. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22MAHMOOD%2C+Tahir%22">MAHMOOD, Tahir</searchLink><relatesTo>1</relatesTo><i> tahirbakhat@iiu.edu.pk</i><br /><searchLink fieldCode="AR" term="%22AHMMAD%2C+Jabbar%22">AHMMAD, Jabbar</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sigma%3A+Journal+of+Engineering+%26+Natural+Sciences+%2F+Mühendislik+ve+Fen+Bilimleri+Dergisi%22">Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi</searchLink>. Feb2026, Vol. 44 Issue 1, p23-41. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aggregation+operators%22">Aggregation operators</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+trading+of+securities%22">Electronic trading of securities</searchLink><br /><searchLink fieldCode="DE" term="%22Sentiment+analysis%22">Sentiment analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Artificial intelligence stock trading uses machine learning, sentiment analysis, and advanced algorithmic forecasts to examine millions of details and carry out transactions at the lowest price. To reduce risks and increase returns, artificial intelligence traders also accurately and effectively assess future markets. A beneficial and original method for assessing or presenting the valuable decision from the accumulation of valuable information is the weighted aggregated sum product assessment approach. The notion of picture fuzzy soft set is dominant to intuitionistic fuzzy soft because it uses extra information in the form of abstinence grade that makes this structure more valuable and superior as compared to intuitionistic fuzzy soft set. It means that when data contains abstinence grade then the idea of intuitionistic fuzzy soft set fails to handle such kind of information. Moreover, in this case, the decision-making approach becomes limited. In many decision-making situations, we have to utilize a more advanced structure to avoid any kind of data loss. Hence in the case of an intuitionistic fuzzy soft set the chance of data loss increases. To avoid this kind of situation in decision-making scenarios, in this framework, we have delivered the notion of weighted averaging, ordered weighted averaging, weighted geometric, and ordered weighted geometric aggregation operators under the environment of a picture fuzzy soft set. Moreover, we have delivered properties like Idempotency, Boundedness, Shift-invariance and Homogeneity of these developed notions. We have delivered the WASPAS method for picture fuzzy soft information and employed this technique for the classification of artificial intelligence trading systems. Additionally, we provide a few scenarios using the multi-attribute decision-making technique to confirm and demonstrate the utilization of the aforementioned information and try to find the best artificial intelligence trading system. Additionally, to increase the value of the evaluated information, we compare the derived operators with a variety of currently used or existing methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi is the property of Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14744/sigma.2026.1965 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 23 Subjects: – SubjectFull: Aggregation operators Type: general – SubjectFull: Electronic trading of securities Type: general – SubjectFull: Sentiment analysis Type: general – SubjectFull: Multiple criteria decision making Type: general – SubjectFull: Decision making Type: general – SubjectFull: Machine learning Type: general Titles: – TitleFull: Classifications of artificial intelligence trading systems by using WASPAS approach based on picture fuzzy soft aggregation operators. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: MAHMOOD, Tahir – PersonEntity: Name: NameFull: AHMMAD, Jabbar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13047191 Numbering: – Type: volume Value: 44 – Type: issue Value: 1 Titles: – TitleFull: Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi Type: main |
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