Youth Empowerment for the Development and Defense of Madina State

Youth Empowerment has always been an icon of progressive process where young people are encouraged to peep into their future. It is not limited to develop individuals rather to formulate a great community change which rely on the development of individual capacity. Having dazzling achievements on its dimensions, the evolution of Islam flourished due to the youth’s inspiring role for the cognitive development in every sphere of life. The Holy Prophet (ﷺ) explored his young companions’ access to their resources, then transformed their consciousness, intellect and ensured their empowerment to promote traditional, moral and theological values. Its aim has always been to improve one’s quality of life in social, economic, socio-political and even war fares as well. Enhance to companions young his empowered (صلى الله عليه وسلم) Prophet Holy The their belief in self-efficacy in various territories. They battled against their contemporary challenges to meet positive sense of self-control, decision making skills, moral system of beliefs and pro-social connectedness. All these have numerous instances for their substantiations. The present research paper will substantiate the young companions’ pivotal efforts in the early age of Madīnah city to promote Islamic norms, their key role in battles, compilation of Qur’ān and Ḥadīth and various other significant defensive roles performed by the youth of that era after given powers by that highlight also will paper research present The. (صلى الله عليه وسلم) Prophet Holy the how the youth of today can empower itself to utilize their perceptive. (صلى الله عليه وسلم) Prophet Holy of companions young by archives set the from app

T-Norms Based Fuzzy Ordering and Their Applications in Fuzzy Preference Modeling

This research work focuses on T-transitive fuzzy orderings, their mathematical structures and representation results on these orderings. We have shown that the consistent nature of a fuzzy preference relation has direct relationship with its being more or less T-transitive. After handling this task, some work is done on applications of T-transitivity in the area of preference modeling. Here we have presented some new algorithms to complete an incomplete fuzzy preference relation. These algorithms are based on T-transitivity of a given fuzzy relation. This work has its roots in multi criteria and multi agent decision making. The target is to achieve a ranking among alternatives while incomplete information is provided by the judges about criteria of selection and pair wise preferences amongst alternatives. We have further extended these results to their interval valued versions where the consistent and consensus degrees are also accommodated. The theory and algorithms provided so far are then used to solve real life problems of industry i.e., the problem of supplier selection in the supply chain management where the successful implementation of the results is demonstrated.