مذاہب التفسیر الاسلامی کی روشنی میں مستشرق گولڈ زیہرکےاعتراضات کا علمی جائزہ A Critical analysis of Goldzehr's objections in the light Maẓahib al-Tafsīr al-Islāmī.

Goldziher 1850-1921 is a Jewish Orientalist. His interest in the study of Islam took him to the famous Syrian scholar Sheikh Tahir Al-Jazāirī and after spending a long time in his company he moved to Palestine and then to Egypt. Where he benefited from the scholars of Aẓhar University. Among the Orientalists who have formally and fundamentally debated the Qur'anic text and recitations is Gold Poison. He is known for his objections to Hadith and Qur'anic recitations. Dr. Abdul Haleem Al-Najjar, a lecturer at Cairo University, has translated the famous book Muslim Studies of Goldziher into Arabic concerning the different methods and methods of recitation, tafsir, and tafsir of the Holy Quran. This translation was first published by Maktab al-Khanji in Cairo, Egypt in 1955 and reached the hands of the masters of science and literature and became popular. This book is a unique and brand new work of its kind in presenting various topics of the Quran and important aspects of Islamic culture and history in an excellent manner and style. Goldziher proved his meticulous study of the religions of Tafsir al-Islami and his in-depth study of Islam. But there is a difference between a Muslim and a non-Muslim studying Islam, this difference is visible in this book. Goldziher did not describe all the methods of commentary in this book. In addition, the author, like other Orientalists, has erred in interpreting some religious sentiments. Some Muslim scholars call such objections to Goldziher scientific errors. And some see it as part of a deliberate Zionist Orientalist conspiracy. However, the aspects of Tafseer which Goldziher has written about are very important, and much more needs to be written about them. Goldziher's investigation into the Qur'anic text has opened up new avenues for other Orientalists.The said article will present an analytical study of the Qur'anic text, Goldziher's objections to various recitations, and the contents of the book.

Advancements in Genetic Programming for Data Classification

This thesis aims to advance the state of the art in data classification using Genetic programming (GP). GP is an evolutionary algorithm that has several outstanding features making it ideal for complex problems like data classification. However, it suffers from a few limitations that reduce its significance. This thesis targets at proposing optimal solutions to these GP limitations. The problems covered in this thesis are: 1. Increase in GP tree complexity during evolution that results in long training time. 2. Lack of convergence to a single (optimal) solution. 3. Lack of methodology to handle mixed data-type without type transformation. 4. Search of a better method for multi-class classification. Through this work, we have proposed a method which achieves significant reduction in bloat for classification task. Moreover, we have presented a Particle Swarm Optimization based hybrid approach to increase performance of GP evolved classifiers. The approach offers better performance in less computational effort. Another approach introduces a new two layered paradigm for mixed type data classification with an added feature that uses data in its original form instead of any transformation or pre-processing. The last but not the least contribution is an efficient binary encoding method for multi-class classification problems. The method involves smaller number of GP evolutions, reducing the computation and suffers from fewer conflicts yielding better results. All of the proposed methods have been tested and our experiments conclude the efficiency of proposed approaches.