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Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models
Author: Ramakrishnan Ramanathan
Publisher: CRC Press
Total Pages: 370
Release: 2017-07-12
Genre: Computers
ISBN: 1498753752

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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.


Multiple Criteria Decision Making

Multiple Criteria Decision Making
Author: Anand J. Kulkarni
Publisher: Springer
Total Pages: 0
Release: 2023-02-16
Genre: Technology & Engineering
ISBN: 9789811674167

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The book discusses state-of-the-art applications and methodologies of the Multiple Criteria Decision Making (MCDM) techniques and approaches. The book focuses on critical literature, underlying principles of methods and models, solution approaches, testing and validation, real-world applications, case studies, etc. The book helps evaluate strategic decision-making through advanced MCDM and integrated approaches of AI, big data, and IoT to provide realistic and robust solutions to the current problems. The book will be a guideline to the potential MCDM researchers about the choice of approaches for dealing with the complexities and modalities. The contributions of the book help readers to explore new avenues leading towards multidisciplinary research discussions. This book will be interesting for engineers, scientists, and students studying/working in the related areas.


New Concepts and Trends of Hybrid Multiple Criteria Decision Making

New Concepts and Trends of Hybrid Multiple Criteria Decision Making
Author: Gwo-Hshiung Tzeng
Publisher: CRC Press
Total Pages: 346
Release: 2017-08-15
Genre: Business & Economics
ISBN: 1351680625

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When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.


Multi-criteria Decision Modelling

Multi-criteria Decision Modelling
Author: Rahul Sindhwani
Publisher:
Total Pages: 206
Release: 2021
Genre: Decision support systems
ISBN: 9780367645649

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"This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a practical foundation for solving real-life problems in different scenarios of emerging global markets. It depicts the use of sensitivity analysis and modelling, including case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the application of MCDM to a variety of situations. The book covers ways for companies to use these methods to their advantage in order to achieve sustainability. It also presents an overview of the main streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. This is a guide for those performing decision analysis for academic purposes as well as for researchers wanting to expand their knowledge on MCDM problem solving"--


Big Data Analytics in Supply Chain Management

Big Data Analytics in Supply Chain Management
Author: Iman Rahimi
Publisher: CRC Press
Total Pages: 211
Release: 2020-12-20
Genre: Computers
ISBN: 1000326918

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In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.


Handbook of Group Decision and Negotiation

Handbook of Group Decision and Negotiation
Author: D. Marc Kilgour
Publisher: Springer Science & Business Media
Total Pages: 473
Release: 2010-08-02
Genre: Mathematics
ISBN: 9048190975

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Publication of the Handbook of Group Decision and Negotiation marks a milestone in the evolution of the group decision and negotiation (GDN) eld. On this occasion, editors Colin Eden and Marc Kilgour asked me to write a brief history of the eld to provide background and context for the volume. They said that I am in a good position to do so: Actively involved in creating the GDN Section and serving as its chair; founding and leading the GDN journal, Group Decision and Negotiation as editor-in-chief, and the book series, “Advances in Group Decision and Negotiation” as editor; and serving as general chair of the GDN annual meetings. I accepted their invitation to write a brief history. In 1989 what is now the Institute for Operations Research and the Management Sciences (INFORMS) established its Section on Group Decision and Negotiation. The journal Group Decision and Negotiation was founded in 1992, published by Springer in cooperation with INFORMS and the GDN Section. In 2003, as an ext- sion of the journal, the Springer book series, “Advances in Group Decision and Negotiation” was inaugurated.


Data Driven Decision Making using Analytics

Data Driven Decision Making using Analytics
Author: Parul Gandhi
Publisher: CRC Press
Total Pages: 150
Release: 2021-12-21
Genre: Computers
ISBN: 1000506436

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This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.


Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes
Author: Edmundas Kazimieras Zavadskas
Publisher: MDPI
Total Pages: 490
Release: 2020-12-15
Genre: Science
ISBN: 3039367781

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers propose new approaches and elaborate case studies in the following areas of application: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approaches for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, and multi-criteria decision-making in strategic management based on sustainable criteria.


A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS

A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS
Author: Chun-Ho Chen
Publisher: Infinite Study
Total Pages: 23
Release:
Genre: Mathematics
ISBN:

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The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.


Data Analytics

Data Analytics
Author: Adedeji B. Badiru
Publisher: CRC Press
Total Pages: 234
Release: 2020-12-23
Genre: Technology & Engineering
ISBN: 1000297357

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Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.