اسلام ميں حسن اخلاق کی فضيلت اور اہميت

Mannerism deals with inner-self and or how to achieve goals in life. It brings harmony in physical and spiritual attributes of a person. As Prophet Muhammad (PBUH) was an excellent example due to His apparent and spiritual moral values that is why The Holy Quran and Hadith direct the society and individual to follow Him. Islam is based on moral values and wishes for a society where people live at individual and community level is having its basis on moral values and spiritualism depicted by the divine teaching. Islamic system preaches good moral values and indicates ways to get saved from ill-mannered behavior. An individual with good moral values reflects good faith and blessings from Allah. Islam promoted a sense of responsibility and fear of the Day of Judgment with Love to Allah in such a way that all the life of an individual was converted to a prayer. This spirit affected all the aspects of individual and society life. This article guides us to understand those moral values.

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.