الدعوة الاسلامية دعوة عالمية

Allah almighty has created Human beings, the angels, and jinn for His worship alone. To guide the human beings to the right path, Allah almighty has sent many messengers to all nations and pieces of lands. Hazrat Adam (A. S.) was the first human being as well as the first Prophet of Allah on the Earth, while the Prophet Muhammad (PBUH) was the last of all in this chain. There will be no prophet after him. Now, it is the duty of every Muslims to carry and spread this universal message to the whole humanity. In this context, the message of Islam is universal. This article deals with this issue through giving proofs from the Holy Qur'an and Sunnah.

Fuzzy Logic and Neural Network Application in Medical Information

Medical practitioner often makes decisions based on incomplete, vague, or uncertain information. Recently fuzzy based techniques have shown a more promising way to handle imprecise data. The approach consists in using the capacities of the commercial database management system while adding a supplementary layer assuring the interface between fuzzy queries. Such a fuzzy relational database management system (FRDBMS) deals more effectively in many applications enhancing the efficiency of processing fuzzy queries even in relational database management system (RDBMS). The implementation from RDBMS to FRDBMS requires knowledge of legacy database, knowledge about fuzzy logic and mapping from crisp to fuzzy values. Software layer is used with RDBMS to convert to FRDBMS, where fuzzy information is to be designed with care. The main feature of FRDBMS is linguistic fuzzy modeling, where the interpretability of the obtained model is the main requirement, together with its accuracy. The research of moving from RDBMS to FRDBMS is limited and not much work has been carried out. The research work presented in this thesis shows fuzzy RDBMS implementation using our developed FDSL Tool, where input to this tool is fuzzy SQL query and output is fuzzy linguistic value results. The FDSL Tool can be used with many fuzzy expert system applications. The developed Fuzzy Model is tested successfully on heart and diabetes datasets. Our implementation achieved an accuracy higher than other contemporary setups working on the same datasets as considered in this work. The improved results were attributed due to the incorporation of linguistic data and its implementation in metadata function.