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An Introduction to Islamic Jurisprudence
What is Sharia? What does Islam teach? To what extent do ordinary Muslims know about and understand Islamic rules? How can one learn sharia in a simple, accurate way? How do Muslim scholars derive Sharia rules? The objective of the present book is to be a study course for law students who want to learn how to perform Islamic legal reasoning. The goal is to simplify the material to the point where students who are not professional Islamic scholars can, nevertheless, discuss and analyze sharia.
New Jihadists & Islam
Have you ever thought that a cool-looking young kid might actually be a Jihadist? Daniel Akbari, a Sharia lawyer, a criminologist, and an Islamic expert analyses the most controversial Islamic issues related to the new generation of jihadists in the United States. He speaks from the authority of being an Islamic Mujtahid who has studied in Qom, the holiest city in Iran and the center of learning and teaching for Shia Islam. No matter how much you know about Islam, you will find something useful in this book to increase your knowledge about Islam and the new generation of Jihadists in the United States. Daniel (Ghasem) Akbari was born and raised in Iran. He studied law at Tehran University Law School in Qom, Iran. After graduation he became a lawyer and a member of the Iranian Bar Association. Daniel practiced law as a Number One attorney and handled many cases before the Iranian Supreme Court. He immigrated to the United States and pursued his education in criminology.
Developments in Turbomachinery Flow
Developments in Turbomachinery Flow: Forward Curved Centrifugal Fans explores the forward curved squirrel cage fan as an excellent instrument for fluid mechanics research in turbomachines. The book explores phenomena such as jet/wake interaction, circulation, separation and noise in turbomachines, also addressing the characteristics that are specific to this fan and applications in other centrifugal turbomachines. Chapters begin with a general introduction that includes research techniques and a survey of older research, and then proceed into a detailed description of improvements for different parts of the fan, including the inlet, the rotor and the volute. Final sections include a comprehe...
Intelligent and Fuzzy Systems
This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
How Fuzzy Concepts Contribute to Machine Learning
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.
كتابشناسي ملي ايران
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