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Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering

Gebonden Engels 2026 1e druk 9781041209294
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This comprehensive guide bridges the gap between theoretical fuzzy logic methodologies and their practical applications in real-world scenarios. The book details the implementation of mathematical and fuzzy logic methods across decision-making, management, and engineering challenges, while addressing the growing uncertainty in modern environments that traditional methodologies fail to adequately handle.

Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering equips readers with actionable frameworks for applying complex mathematical and fuzzy methodologies to actual business and engineering cases. The book explores real applications of diverse methodologies, introduces mathematical and fuzzy methods for decision-making, and provides step-by-step explanations of implementation procedures. Each chapter demonstrates how these advanced techniques can improve organizational outcomes through detailed case studies from multiple countries and industries, ensuring broad applicability across regional contexts.

This book is intended for graduate students, professors, researchers, and industry professionals. The new thematic trends, methodologies, and applications presented allow for techniques to be implemented with varying levels of complexity across different applications and scenarios.

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Inhoudsopgave

Chapter 1 Fundamentals. Chapter 2 Hierarchical Ranking of the Selection of International Exchange-Traded Funds.Chapter 3 Decision Model for the Implementation of IT Governance: An Approach Based on Fuzzy TOPSIS and Principal Component Analysis. Chapter 4 Social Entrepreneurship Ranking of Mexican State Governments: An Analysis with the Ordered Weighted Average Operator. Chapter 5 Supply Chain Performance Assessment Using the TODIM Multicriteria Method: Toward Timely Supply. Chapter 6 Assessment of Student Satisfaction in Upper Secondary Education: A Strategy for Continuous Improvement. Chapter 7 Food Insecurity and Non-Communicable Diseases: A Bibliometric Review of Diabetes, Obesity, and Hypertension Research. Chapter 8 Smart Tourism Destinations: A Local Assessment Model for ICT Indicators. Chapter 9 Modeling Uncertainty in Decision Systems Using Neutrosophic Logic and Blockchain-Based Traceability. Chapter 10 Penalty-Based Bonferroni Means: A Heterogeneity Penalty Function Based on Bonferroni OWA Operator and Adequacy Coefficient. Chapter 11 A Novel Category of Fuzzy β-Compact Spaces. Conclusion

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          Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering