학술논문

How to Describe Variety of a Probability Distribution: A Possible Answer to Yager’s Question
Document Type
Conference
Source
2022 IEEE 11th International Conference on Intelligent Systems (IS) Intelligent Systems (IS), 2022 IEEE 11th International Conference on. :1-4 Oct, 2022
Subject
Bioengineering
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Entropy
Probability distribution
Intelligent systems
probability distribution
variety
Language
ISSN
2767-9802
Abstract
Entropy is a natural measure of randomness. It progresses from its smallest possible value 0 – when we have a deterministic case in which one alternative i occurs with probability 1 (p i = 1), to the largest possible value which is attained at a uniform distribution p 1 = … = p n = 1/n. Intuitively, both in the deterministic case and in the uniform distribution case, there is not much variety in the distribution, while in the intermediate cases, when we have several different values p i , there is a strong variety. Entropy does not seem to capture this notion of variety. In this paper, we discuss how we can describe this intuitive notion.