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.
Table of Contents:
Chapter 1 Fundamentals Chapter 2 Assessment of Student Satisfaction in Upper Secondary Education:
a Strategy for Continuous Improvement Chapter 3 Supply Chain Performance Assessment Using the TODIM Multicriteria Method: Towards Timely Supply. Chapter 4 Modelling Uncertainty in Decision Systems Using Neutrosophic Logic and Blockchain-Based Traceability Chapter 5 Hierarchical Ranking of the Selection of International Exchange Traded Funds Chapter 6 Decision Model for the Implementation of IT Governance: An Approach Based on Fuzzy Topsis and Principal Component Analysis. Chapter 7 Social Entrepreneurship ranking of mexican state governments: an analysis with the Ordered Weighted Average operator Chapter 8 Food insecurity and non-communicable diseases: A bibliometric review of diabetes, obesity, and hypertension research Chapter 9 Penalty-based Bonferroni means: A heterogeneity penalty function based on Bonferroni OWA operator and Adequacy Coefficient Chapter 10 A Novel Category of Fuzzy β-Compact Spaces Chapter 11 SMART TOURISM DESTINATIONS: An assessment model for ICT indicators Conclusion
About the Author :
Ernesto León-Castro is an Associate Professor at the Universidad Católica de la Santísima Concepcion (Chile). He has a PhD in Administrative Sciences from Universidad de Occidente (Mexico). Member of the National System of Researchers (Level 2). His research areas include aggregation operators, decision-making, innovation, finance, fuzzy logic, and other related topics. He is part of the Ibero-American Network for Competitiveness, Innovation and Development (REDCID) and is a member of the Business Studies in Uncertain Environments research group.
Fabio Raul Blanco Mesa is a Full Professor and Senior Researcher at the Universidad Pedagógica y Tecnológica de Colombia. He received his PhD in Business from the Department of Economics and Business Organization of the University of Barcelona and has Master's degrees in Business, Finance and Insurance Research, and Sports Business Management from the University of Barcelona. He also has a Sports Administrator degree from Francisco José de Caldas District University. His areas of interest include issues related to decision making, competitiveness, interest groups, entrepreneurship, entrepreneurship, regional development, strategic analysis, diffuse systems and aggregation operators applied to management, uncertainty, and bibliometrics.
Victor Alfaro Garcia is the Deputy Coordinator of the Ibero-American Network for Competitiveness Innovation and Development REDCID, a program attached to the Ibero-American Program of Science and Technology for Development CYTED. He received his PhD in International Business with specialization in models for the treatment of uncertainty in decision making. He
Anna Maria Gil-Lafuente is a Full Professor in the Department of Business Administration at the University of Barcelona, Spain. She has a MSc and a PhD Degree in Business Administration from the University of Barcelona. She is on the editorial board of several journals and her areas of interest in decision making, aggregation operators, fuzzy systems, uncertainty, and finance.
