Optimization And Computing Using Intelligent Data Driven Approaches For Decision Making

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Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Optimization and Computing Using Intelligent Data Driven Approaches for Decision Making Book PDF

Author : Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Publisher : Unknown
Page : 0 pages
File Size : 43,9 Mb
Release : 2024-11-20
Category : Computers
ISBN : 1032621664

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Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making by Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg Pdf

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. This Book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the Fuzzy Inference System in Ant Colony Optimization for Travelling Salesman Problems Presents an overview of AI and Explainable AI Decision-Making XAIDM and illustrates a data-driven optimization concept for modelling environmental and economic sustainability. Discusses Machine Learning based Multi Objective Optimization Technique for Load Balancing in Integrated Fog Cloud Environment. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. Discusses Sustainable Transit of Hazardous Waste, Green Fractional Transportation System, Perishable Inventory, M-Estimation of Functional Regression Operator and Intuitionistic Fuzzy Sets applications. The text is primarily written for graduate students, and academic researchers in diverse fields including operations research, mathematics, statistics, computer science, information and communication technology and industrial engineering.

Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Optimization and Computing Using Intelligent Data Driven Approaches for Decision Making Book PDF

Author : Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Publisher : Unknown
Page : 0 pages
File Size : 50,8 Mb
Release : 2024-11-20
Category : Computers
ISBN : 1032781114

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Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making by Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg Pdf

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. This book: Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing. Presents a comparative analysis of machine learning algorithms for the power consumption prediction. Discusses machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment. Illustrates a data-driven optimization concept for modeling environmental and economic sustainability. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.

Decision Intelligence Analytics and the Implementation of Strategic Business Management

P. Mary Jeyanthi,Tanupriya Choudhury,Dieu Hack-Polay,T P Singh,Sheikh Abujar
Decision Intelligence Analytics and the Implementation of Strategic Business Management Book PDF

Author : P. Mary Jeyanthi,Tanupriya Choudhury,Dieu Hack-Polay,T P Singh,Sheikh Abujar
Publisher : Springer Nature
Page : 236 pages
File Size : 53,5 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030827632

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Decision Intelligence Analytics and the Implementation of Strategic Business Management by P. Mary Jeyanthi,Tanupriya Choudhury,Dieu Hack-Polay,T P Singh,Sheikh Abujar Pdf

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

Intelligent Decision Support Systems

Miquel Sànchez-Marrè
Intelligent Decision Support Systems Book PDF

Author : Miquel Sànchez-Marrè
Publisher : Springer Nature
Page : 826 pages
File Size : 52,9 Mb
Release : 2022-03-28
Category : Computers
ISBN : 9783030877903

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Intelligent Decision Support Systems by Miquel Sànchez-Marrè Pdf

This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.

Data-Driven Optimization of Manufacturing Processes

Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Data Driven Optimization of Manufacturing Processes Book PDF

Author : Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 298 pages
File Size : 49,8 Mb
Release : 2020-12-25
Category : Technology & Engineering
ISBN : 9781799872085

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Data-Driven Optimization of Manufacturing Processes by Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi Pdf

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Artificial Intelligence for Business Optimization

Bhuvan Unhelkar,Tad Gonsalves
Artificial Intelligence for Business Optimization Book PDF

Author : Bhuvan Unhelkar,Tad Gonsalves
Publisher : CRC Press
Page : 295 pages
File Size : 41,6 Mb
Release : 2021-08-09
Category : Business & Economics
ISBN : 9781000409475

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Artificial Intelligence for Business Optimization by Bhuvan Unhelkar,Tad Gonsalves Pdf

This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

Survey on Intelligent Data Repository Using Soft Computing

A. Prema ,A.Pethalakshmi
Survey on Intelligent Data Repository Using Soft Computing Book PDF

Author : A. Prema ,A.Pethalakshmi
Publisher : Infinite Study
Page : 20 pages
File Size : 42,9 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 8210379456XXX

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Survey on Intelligent Data Repository Using Soft Computing by A. Prema ,A.Pethalakshmi Pdf

Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse. The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model. In this paper, an intelligent data repository with soft computing is presented. It covers similarity metrics that are commonly used to improve the efficiency of data storages. It also covers multiple decision making methodologies to improve the efficiency of decision making.

Decision Intelligence

Thorsten Heilig,Ilhan Scheer
Decision Intelligence Book PDF

Author : Thorsten Heilig,Ilhan Scheer
Publisher : John Wiley & Sons
Page : 247 pages
File Size : 42,8 Mb
Release : 2023-10-31
Category : Business & Economics
ISBN : 9781394185443

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Decision Intelligence by Thorsten Heilig,Ilhan Scheer Pdf

Dramatically improve your decisions with data and AI In Decision Intelligence: Transform Your Team and Organization with AI-Driven Decision-Making, a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation. Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book covers: A demystifying behind-the-scenes peek inside how AI models, forecasts, and optimization for business challenges really work, and why they open up entirely new possibilities. A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and how to transition to decision-intelligence. The evolution of Decision Intelligence, coming from analytics and modern techniques like process mining and robotic process automation An examination of decision intelligence at the organizational level, including discussions of agile transformation, transparent organizational culture, and why psychological safety is a crucial enabler for new ways of decision-making in modern companies An overview of why (and where exactly) AI still needs human expertise and how to incorporate this topic in daily planning and decision making Decision Intelligence is essential reading for managers, executives, board members, other business leaders and soon-to-be leaders looking to improve the quality, adaptability, and speed of their decision-making. Praise for Decision Intelligence "In Decision Intelligence, Thorsten Heilig and Ilhan Scheer build a compelling case for the world of tomorrow’s version of decision-making.” ―Martin Lindstrom, New York Times best-selling author "Decision Intelligence will be one of the big topics for this decade and completely change the way organizations manage, plan, and operate. This book provides a comprehensive guide from the basics to the applications." ―Niklas Jansen, Entrepreneur and Tech Investor, Founding Partner Interface Capital and Co-Founder Blinkist "The book impressively demonstrates the potential and entry points into the world of AI-powered decision making. A very valuable reading for managers and their organizations". ―Michael Kleinemeier, Member of the Merck KG Board of Partners, former Member of the SAP SE Executive Board “The AI hype perfectly captured, easy to understand, de-mystified and mapped to clear use cases - a must-read for today's managers.” ―Dr. Daniela Gerd tom Markotten, Member of the Management Board for Digitalization and Technology, Deutsche Bahn AG

Computational Intelligent Data Analysis for Sustainable Development

Ting Yu,Nitesh Chawla,Simeon Simoff
Computational Intelligent Data Analysis for Sustainable Development Book PDF

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 48,5 Mb
Release : 2013-04-04
Category : Business & Economics
ISBN : 9781439895948

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems. With a focus on integrated sustainability analysis, the book presents a large-scale quadratic programming algorithm to expand high-resolution input-output tables from the national scale to the multinational scale to measure the carbon footprint of the entire trade supply chain. It also quantifies the error or dispersion between different reclassification and aggregation schemas, revealing that aggregation errors have a high concentration over specific regions and sectors. The book summarizes the latest contributions of the data analysis community to climate change research. A profuse amount of climate data of various types is available, providing a rich and fertile playground for future data mining and machine learning research. The book also pays special attention to several critical challenges in the science of climate extremes that are not handled by the current generation of climate models. It discusses potential conceptual and methodological directions to build a close integration between physical understanding, or physics-based modeling, and data-driven insights. The book then covers the conservation of species and ecologically valuable land. A case study on the Pennsylvania Dirt and Gravel Roads Program demonstrates that multiple-objective linear programming is a more versatile and efficient approach than the widely used benefit targeting selection process. Moving on to renewable energy and the need for smart grids, the book explores how the ongoing transformation to a sustainable energy system of renewable sources leads to a paradigm shift from demand-driven generation to generation-driven demand. It shows how to maximize renewable energy as electricity by building a supergrid or mixing renewable sources with demand management and storage. It also presents intelligent data analysis for real-time detection of disruptive events from power system frequency data collected using an existing Internet-based frequency monitoring network as well as evaluates a set of computationally intelligent techniques for long-term wind resource assessment. In addition, the book gives an example of how temporal and spatial data analysis tools are used to gather knowledge about behavioral data and address important social problems such as criminal offenses. It also applies constraint logic programming to a planning problem: the environmental and social impact assessment of the regional energy plan of the Emilia-Romagna region of Italy. Sustainable development problems, such as global warming, resource shortages, global species loss, and pollution, push researchers to create powerful data analysis approaches that analysts can then use to gain insight into these issues to support rational decision making. This volume shows both the data analysis and sustainable development communities how to use intelligent data analysis tools to address practical problems and encourages researchers to develop better methods.

Multicriteria Decision Aid and Artificial Intelligence

Michael Doumpos,Evangelos Grigoroudis
Multicriteria Decision Aid and Artificial Intelligence Book PDF

Author : Michael Doumpos,Evangelos Grigoroudis
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 41,5 Mb
Release : 2013-02-01
Category : Business & Economics
ISBN : 9781118522493

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Multicriteria Decision Aid and Artificial Intelligence by Michael Doumpos,Evangelos Grigoroudis Pdf

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

Data-Driven Decision Making for Long-Term Business Success

Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Data Driven Decision Making for Long Term Business Success Book PDF

Author : Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Publisher : IGI Global
Page : 515 pages
File Size : 50,5 Mb
Release : 2023-12-21
Category : Business & Economics
ISBN : 9798369321942

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Data-Driven Decision Making for Long-Term Business Success by Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R. Pdf

In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

From Data to Decisions

Raissa Gomez
From Data to Decisions Book PDF

Author : Raissa Gomez
Publisher : Zee Publishing
Page : 90 pages
File Size : 46,5 Mb
Release : 2024-05-21
Category : Computers
ISBN : PKEY:6610000573172

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From Data to Decisions by Raissa Gomez Pdf

From Data to Decisions: Your Friendly Guide to Understanding Modern Decision Intelligence by Raissa Gomez Feeling overwhelmed by the buzz around "data-driven decisions" and "artificial intelligence"? Don't worry, you're not alone! "From Data to Decisions" is your friendly, jargon-free introduction to the exciting world of Decision Intelligence (DI). No prior experience required! Inside, you'll discover: DI Basics Made Easy: We'll break down the core concepts of DI in simple terms, explaining why it's so important for today's businesses. Real-World Examples, Not Just Theory: Learn how everyday decisions – from choosing a new product to planning a marketing campaign – can be improved with DI. A Roadmap to Getting Started: We'll show you the first steps to take on your DI journey, even if you're starting from scratch. The Future of Decision-Making: Get a sneak peek into how DI is changing the way we work and live. Whether you're a curious student, a business owner, or simply someone who wants to make better decisions, "From Data to Decisions" will give you the confidence and knowledge to embrace this powerful tool. Ready to unlock the secrets of smarter decision-making? Grab your copy of "From Data to Decisions" today and start your DI adventure!

Intelligent Optimization Techniques for Business Analytics

Bansal, Sanjeev,Kumar, Nitendra,Agarwal, Priyanka
Intelligent Optimization Techniques for Business Analytics Book PDF

Author : Bansal, Sanjeev,Kumar, Nitendra,Agarwal, Priyanka
Publisher : IGI Global
Page : 377 pages
File Size : 42,8 Mb
Release : 2024-04-15
Category : Business & Economics
ISBN : 9798369315996

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Intelligent Optimization Techniques for Business Analytics by Bansal, Sanjeev,Kumar, Nitendra,Agarwal, Priyanka Pdf

Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making.

Machine Learning for Intelligent Decision Science

Jitendra Kumar Rout,Minakhi Rout,Himansu Das
Machine Learning for Intelligent Decision Science Book PDF

Author : Jitendra Kumar Rout,Minakhi Rout,Himansu Das
Publisher : Springer Nature
Page : 219 pages
File Size : 45,5 Mb
Release : 2020-04-02
Category : Technology & Engineering
ISBN : 9789811536892

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Machine Learning for Intelligent Decision Science by Jitendra Kumar Rout,Minakhi Rout,Himansu Das Pdf

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Mahesh Chand,Vineet Jain,Puneeta Ajmera
Data Driven Technologies and Artificial Intelligence in Supply Chain Book PDF

Author : Mahesh Chand,Vineet Jain,Puneeta Ajmera
Publisher : CRC Press
Page : 291 pages
File Size : 44,7 Mb
Release : 2023-11-23
Category : Computers
ISBN : 9781003800996

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Data-Driven Technologies and Artificial Intelligence in Supply Chain by Mahesh Chand,Vineet Jain,Puneeta Ajmera Pdf

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies" Emphasizes the impact of a data-driven supply chain on quality management "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing" Highlights the barriers to implementing artificial intelligence in small and medium enterprises Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.