Theoretical and Practical Advancements for Fuzzy System Integration

Author: Deng-Feng Li  

Publisher: IGI Global‎

Publication year: 2017

E-ISBN: 9781522518495

Subject: N941 Systematics, modern system theory

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

In real management situations, uncertainty is inherently present in decision making. As such, it is increasingly imperative to research and develop new theories and methods of fuzzy sets. Theoretical and Practical Advancements for Fuzzy System Integration is a pivotal reference source for the latest scholarly research on the importance of expressing and measuring fuzziness in order to develop effective and practical decision making models and methods. Featuring coverage on an expansive range of perspectives and topics, such as fuzzy logic control, intuitionistic fuzzy set theory, and defuzzification, this book is ideally designed for academics, professionals, and researchers seeking current research on theoretical frameworks and real-world applications in the area of fuzzy sets and systems.

Chapter

Chapter 2: Some Recent Defuzzification Methods

Chapter 3: Interval-Valued Intuitionistic Fuzzy Multi-Attribute Decision Making Based on Satisfactory Degree

Chapter 4: Intuitionistic Fuzzy Distance-Based Intuitionistic Fuzzy TOPSIS Method and Application to MADM

Chapter 5: Fuzzy-AHP

Chapter 6: Intuitionistic Fuzzy Set Theory with Fair Share CPU Scheduler

Chapter 7: MAGDM Problems with Correlation Coefficient of Triangular Fuzzy IFS

Chapter 8: Credibility Hypothesis Testing of Variance of Fuzzy Normal Distribution

Chapter 9: Application of Fuzzy Soft Set in Patients' Prioritization

Chapter 10: Performance Estimation of Firms by G-L-A Supply Chain under Imperfect Data

Chapter 11: Appraise the Economic Values of Logistic Handling System under Mixed Information

Chapter 12: Benchmarking of Advanced Manufacturing Machines Based on Fuzzy-TOPSIS Method

Chapter 13: Prediction of Solar and Wind Energies by Fuzzy Logic Control

Compilation of References

About the Contributors

Index

The users who browse this book also browse