Data Science And Multi Criteria Decision Making Approaches In Finance
Download Data Science And Multi Criteria Decision Making Approaches In Finance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Science And Multi Criteria Decision Making Approaches In Finance book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data Science and Multi-criteria Decision-making Approaches in Finance
"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"--
Data Science and Multiple Criteria Decision Making Approaches in Finance
Author: Gökhan Silahtaroğlu
language: en
Publisher: Springer Nature
Release Date: 2021-05-29
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.
Multi-Criteria Decision-Making Sorting Methods
Author: Luis Martinez Lopez
language: en
Publisher: Academic Press
Release Date: 2023-04-28
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