Ordered Weighted Averaging Aggregation Operator (eBook)

What Is Ordered Weighted Averaging Aggregation Operator

The ordered weighted averaging (OWA) operators give a parameterized class of mean type aggregating operators. These operators can be found in practical mathematics, more notably in fuzzy logic. Ronald R. Yager was the one who first presented them. This class contains a significant number of well-known mean operators, including the maximum, arithmetic average, median, and minimum. Because of their capacity to simulate language conveyed aggregation instructions, they have found widespread application in the field of computational intelligence.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Ordered weighted averaging aggregation operator

Chapter 2: Matrix norm

Chapter 3: Inverse Gaussian distribution

Chapter 4: Expected shortfall

Chapter 5: Uncertainty theory

Chapter 6: Least-squares support vector machine

Chapter 7: Type-1 OWA operators

Chapter 8: Generalized functional linear model

Chapter 9: Birnbaum-Saunders distribution

Chapter 10: Normal basis

(II) Answering the public top questions about ordered weighted averaging aggregation operator.

(III) Real world examples for the usage of ordered weighted averaging aggregation operator in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of ordered weighted averaging aggregation operator.