Big Data Quantification for Complex Decision-Making

Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains. Cover Title Page Copyright Page Book Series Mission Coverage Preface Chapter 1: Group-Oriented Multi-Attribute Decision-Making Method Based on Dominance Rough Set Theory ABSTRACT INTRODUCTION BASIC KNOWLEDGE GOMADMMADD GMADMDRS CASE ANALYSIS CONCLUSION REFERENCES Chapter 2: A Multi-Granularity Triangular Fuzzy Approach for Diabetes Blood Glucometer Selection Using PROMETHEE and Three-Way Decision ABSTRACT INTRODUCTION BASIC KNOWLEDGE ADJUSTABLE MG TF PRS THE SELECTION OF GLUCOMETERS BASED ON THE ADJUSTABLE MG TF PRS MODEL A TF MAGDM BASED ON MG TWD CASE ANALYSIS CONCLUSION ACKNOWLEDGMENT REFERENCES Chapter 3: Prediction of Parkinson's Disease Severity Based on Feature Optimization ABSTRACT INTRODUCTION RELATED WORKS PROPOSED METHOD EXPERIMENT CONCLUSION AND FUTURE WORKS REFERENCES Chapter 4: Creating a Data Lakehouse for a South African Government-Sector Learning Control Enforcing Quality Control for Incremental Extract-Load-Transform Pipe ABSTRACT INTRODUCTION LITERATURE REVIEW RESEARCH METHODOLOGY RESULTS AND ANALYSIS CONCLUSION REFERENCES KEY TERMS AND DEFINITIONS Chapter 5: Decision-Making Based on Partition Order Product Space ABSTRACT INTRODUCTION PARTITION ORDER PRODUCT SPACE SEARCH APPROACH THREE-WAY DECISION BASED ON PARTITION ORDER PRODUCTION SPACE CONCLUSION ACKNOWLEDGMENT REFERENCES Chapter 6: Strategy Selection and Outcome Evaluation of Change-Based Three-Way Decisions Based on Reinforcement Learning ABSTRACT INTRODUCTION BASIC KNOWLEDGE STRATEGY SELECTION AND UTILITY MEASUREMENT BASED ON REINFORCEMENT LEARNING CONCLUSION ACKNOWLEDGMENT REFERENCES Chapter 7: The Extension of MAIRCA Based on Fuzzy Number ABSTRACT INTRODUCTION RELATED WORKS MAIN FOCUS OF THE CHAPTER SOLUTIONS AND RECOMMENDATIONS FUTURE RESEARCH DIRECTIONS CONCLUSION REFERENCES APPENDIX Chapter 8: Review of Chinese Text Mining in Agriculture ABSTRACT INTRODUCTION CORE TECHNOLOGUES FOR CHINESE CAT MINING CAT MINING APPLICATIONS CONCLUSION AND FUTURE WORK REFERENCES Chapter 9: A Snapshot Survey of Data Acquisition Forms in Multi-Attribute Decision-Making Studies ABSTRACT INTRODUCTION LITERATURE REVIEW SPECIFIC METHODS QUESTIONS AND EXPECTATIONS CONCLUSION REFERENCES Chapter 10: Research on Knowledge Representation and Reasoning Based on Decision Implication ABSTRACT INTRODUCTION BASIC NOTIONS AND PROPERTIES IN FCA A COMPARATIVE STUDY OF DECISION IMPLICATION, CONCEPT RULE AND GRANULAR RULE DECISION IMPLICATION-BASED KNOWLEDGE RE-REPRESENTATION AND REASONING WITHIN INCOMPLETE FORMAL CONTEXT CONCLUSION AND FUTURE WORK ACKNOWLEDGMENT REFERENCES ENDNOTES Compilation of References About the Contributors