”غض بصر“ کا اطلاقی پہلو قرآن و حدیث کی روشنی میں

In 20’ century, everywhere in the world there is Muslim majority playing importa nt role in world, because it was over served and counted that every fifth man is Muslim. It is also a challenges for non-Muslim who are master of worldtche European land is the land of modernization, there are about in million Muslims. In America there are also over a thousand marques and Islamic organizations. Islam is creating Islamic world in central Asia. After disintegration n of USSR iii DS state such as Kaz, akhstan, Kyrg yzstan, Uzf›ekistan, Turkmenistan and Tajikistan. In fact Islam ii iR second religion most predominate religion after catholic. In Britain ñfuifims are demanding Islamic education. The sfnmic society strength the powerful secufarism in capitalist’s work and trended society as modern. The Muslims are model of world they base on Eurocentric social, politest, economic and cultural premises, progress, modernizing, traditions, secularities, liberalism, humanity and freedom. The Islamic political and social society stand in 7" century, the y believe iii God and red Quran, Islam separated religion from politics and brought peace for all as secular. Muslim are present and living according the teaching of Islam and playing important role in international world politics or international relations. Furthermore, the wars, nationalism, nation, states and human rights in all Islam impact is very much concert The politics, economic, social concern as religion n terminology y or image, more ever universal issues such as social justice, local legitimating and defending the home land are lies on the Islamic politics. The interest in religion and culture are the important factors in international relations.

Decision-Making Methods Based on M-Polar Fuzzy N-Soft Rough Sets

Most of the real-world problems ranging from engineering to medical or social fields involve uncertainty in data. Soft computing models, including m-polar fuzzy sets, intuitionistic fuzzy sets, soft sets and rough sets are used to deal with uncertain and incomplete information. The objective of this thesis is to present certain novel hybrid models, namely, m-polar fuzzy N-soft rough sets, intuitionistic fuzzy N-soft sets and intuitionistic fuzzy N-soft rough sets, for modeling incomplete information in information systems. These models are obtained by the hybridization of N-soft sets with m-polar fuzzy sets, intuitionistic fuzzy sets and rough sets, which are more precise and flexible for modeling and processing of vague information. These models provide us information about the occurrence of ratings or grades and enable us to tackle multi-polar information. Certain novel concepts concerning these newly hybrid models are discussed. Four types of parameter reductions of bipolar fuzzy soft sets are presented. The significance of bipolar fuzzy sets is discussed, by analyzing relation systems and relation decision systems, specifically attribute reduction of bipolar fuzzy relation decision systems is presented. The proposed methods are applied to some real life decision making problems for representation of multi-attribute data, including multi-criteria selection of suitable place for tour. Efficient algorithms are developed to solve decision-making problems based on the proposed hybrid models.