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Weighting between the texts as the ruling when Imam Al-Salmi
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abstract:

Objectives: The study aims to reveal the approach of Imam Al-Salmi in the weighting between the apparently conflicting texts, and to show the extent of his agreement and disagreement with the rest of the fundamentalists, and does he have vocabulary that can be used to elicit legal rulings in modern contemporary issues?

Method: The method of induction and analysis is one of the main tools to reach the research results. The study resorted to following the sayings of Imam Al-Salmi in various sources and fatwas and standing on them, then analyzing and applying them to the various branches of jurisprudence in the various jurisprudential chapters.

Results: The results of the study revealed that Imam Al-Salmi had a special theoretician approach in building fundamentalist rules, but in branching and application, he may not adhere to that because there is another audio evidence stronger in consideration and inference or because it is more appropriate and to achieve the purposes of Islamic law in bringing ease and lifting embarrassment, as the study revealed. About how close or far the approach of Imam Al-Salmi from the approach of the investigators of the fundamentalists in their various doctrines of fundamentalism and jurisprudence.

Conclusion: The study concludes to the fundamentalist and jurisprudential queen that supported Imam Al-Salmi in reconciling the texts and weighting between them in the event of conflict or tie.

keywords: weighting, texts, contradiction, evidence, salmi.

 

 

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Publication Date
Mon Apr 23 2018
Journal Name
Ibn Al- Haitham Journal For Pure And Applied Science
Performance of Strelitzia reginae Flowers Dye as Sensitizer for New Dye-Sensitized Solar Cell Fabrication
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Thu Jun 30 2022
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Publication Date
Fri Oct 26 2018
Journal Name
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University youth attitudes towards mobile phone Companies advertisements in Social networking sites): :(Facebook as sample
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Publication Date
Wed Feb 18 2026
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Multi-objective of wind-driven optimization as feature selection and clustering to enhance text clustering
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Text Clustering consists of grouping objects of similar categories. The initial centroids influence operation of the system with the potential to become trapped in local optima. The second issue pertains to the impact of a huge number of features on the determination of optimal initial centroids. The problem of dimensionality may be reduced by feature selection. Therefore, Wind Driven Optimization (WDO) was employed as Feature Selection to reduce the unimportant words from the text. In addition, the current study has integrated a novel clustering optimization technique called the WDO (Wasp Swarm Optimization) to effectively determine the most suitable initial centroids. The result showed the new meta-heuristic which is WDO was employed as t

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Publication Date
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Publication Date
Thu Jan 24 2019
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Experimental and Theoretical Study of Neomycin Sulfate as Corrosion Protection for Titanium in Acid Media
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