Data Science And Multi Criteria Decision Making Approaches In Finance
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Data Science And Multiple Criteria Decision Making Approaches In Finance
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Author : Gökhan Silahtaroğlu
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Data Science And Multiple Criteria Decision Making Approaches In Finance written by Gökhan Silahtaroğlu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Business & Economics categories.
This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.
Data Science And Multi Criteria Decision Making Approaches In Finance
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Author : Gökhan Silahtaroğlu
language : en
Publisher:
Release Date : 2020
Data Science And Multi Criteria Decision Making Approaches In Finance written by Gökhan Silahtaroğlu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Decision making categories.
"This book explores the use of data science applications such as web mining, text mining, and machine learning in business, health, economics, finance, and engineering"--
Trends In Multiple Criteria Decision Analysis
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Author : Salvatore Greco
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-10
Trends In Multiple Criteria Decision Analysis written by Salvatore Greco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-10 with Business & Economics categories.
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.
Multi Criteria Decision Analysis In Management
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Author : Behl, Abhishek
language : en
Publisher: IGI Global
Release Date : 2020-02-01
Multi Criteria Decision Analysis In Management written by Behl, Abhishek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-01 with Business & Economics categories.
Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.
Handbook Of Multicriteria Analysis
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Author : Constantin Zopounidis
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-25
Handbook Of Multicriteria Analysis written by Constantin Zopounidis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-25 with Business & Economics categories.
Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
Multiple Criteria Decision Making
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Author : M. Murat Köksalan
language : en
Publisher: World Scientific
Release Date : 2011
Multiple Criteria Decision Making written by M. Murat Köksalan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.
Ch. 1. The early history of MCDM -- ch. 2. MCDM developments in the 1970s -- ch. 3. MCDM developments in the 1980s -- ch. 4. MCDM developments in the 1990s and beyond -- ch. 5. MCDM conferences -- ch. 6. MCDM society traditions -- ch. 7. Awards and presidents -- ch. 8. Biographies of leading MCDM scholars -- ch. 9. Conclusion
Multi Criteria Decision Making Sorting Methods
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Author : Luis Martinez Lopez
language : en
Publisher: Academic Press
Release Date : 2023-04-28
Multi Criteria Decision Making Sorting Methods written by Luis Martinez Lopez and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods will focus on sorting approaches across a wide range of interesting techniques and research disciplines. The applications which have been and can be solved by these techniques are more and more important in current real-world decision-making problems. Therefore, the book provides a clear overview of MCDM sorting methods and the different tools which can be used to solve real-world problems by revising such tools and characterizing them according to their performance and suitability for different types of problems. The book is aimed at a broad audience including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. The book may also be useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics, as new developments in multi-criteria decision making. - Provides insights into the latest research trends in MCDM sorting methods and fuzzy-based approaches - Focuses on the application of MCDM sorting methods to GIS based problems - Presents engineers, computer scientists and researchers with effective and efficient solutions to real-world problems
Big Data Analytics Using Multiple Criteria Decision Making Models
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Author : Ramakrishnan Ramanathan
language : en
Publisher: CRC Press
Release Date : 2017-07-12
Big Data Analytics Using Multiple Criteria Decision Making Models written by Ramakrishnan Ramanathan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Computers categories.
Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
Data Analytics For Management Banking And Finance
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Author : Foued Saâdaoui
language : en
Publisher: Springer Nature
Release Date : 2023-09-19
Data Analytics For Management Banking And Finance written by Foued Saâdaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Business & Economics categories.
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 finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks