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Islamic Accounting And Finance: A Handbook
Islamic finance is one of the fastest-growing sectors in international banking and finance. Owing to the increasing availability and ease of access to Islamic services, Islamic finance has become increasingly important not only in Muslim countries, but around the world, making it a global industry. Under the Gulf Cooperation Council (GCC) as well as in some regions, such as the Middle East and North Africa, a dual financial system is implemented, where Sharia-compliant products are marketed alongside conventional financial systems.In this thoroughly researched collection of chapters, researchers from around the world examine the role of Islamic finance in the economies and prospects of diffe...
Data Analytics for Management, Banking and Finance
This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and ...
Intelligent Decision Technologies
This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022)
This is an open access book. ICHESS started in 2018, the last four sessions of ICHESS have all been successfully published. ICHESS is to bring together innovative academics and industrial experts in the field of Humanities Education and Social Sciences to a common forum. And we achieved the primary goal which is to promote research and developmental activities in Humanities Education and Social Sciences, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022) was held on October 14-16, 2022 ...
Hybrid Intelligent Systems
This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017. Reflecting the awareness in the respective academic communities that combined approaches are essential to solving the remaining tough problems in computational intelligence, the HIS is a premier conference focused on the hybridization of intelligent systems. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Hybrid Artificial Intelligent Systems
This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.
Inflation and Growth
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Pythagorean Fuzzy Sets
This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.
Multiple Attribute Decision Making Algorithm via Picture Fuzzy Nano Topological Spaces
Picture fuzzy nano topological spaces is an extension of intuitionistic fuzzy nano topological spaces. Every decision in life ends with an answer such as yes or no, or true or false, but we have an another component called abstain, which we have not yet considered. This work is a gateway to study such a problem. This paper motivates an enquiry of the third component – abstain - in practical problems. The aim of this paper is to investigate the contemporary notion of picture fuzzy nano topological spaces and explore some of its properties. The stated properties are quantified with numerical data. Furthermore, an algorithm for Multiple Attribute Decision-Making (MADM) with an application regarding the file selection of building material under uncertainty by using picture fuzzy nano topological spaces is developed. As a practical problem, a comparison table is presented to show the difference between the novel concept and the existing methods.
