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2005•Journal of Systemic DialecticsRequires access

On the Measure of Complexity

Huang Xin-rong

Open publisher page 3 citations

Abstract

the measure of complexity for a system is called degree of complexity. But until now, there is no commonly means to suitable for all complexity systems. In generally, we measure the degree of complexity for a system from one point of view or parameter. Currently, structure complexity, computational complexity, description complexity, and effective complexity are some well-rounded measure and we can use these means to measure the complexity of a system how complex it has.

About this research paper

What this paper is about

the measure of complexity for a system is called degree of complexity. But until now, there is no commonly means to suitable for all complexity systems. In generally, we measure the degree of complexity for a system from one point of view or parameter. Currently, structure complexity, computational complexity, description complexity, and effective complexity are some well-rounded measure and we can use these means to measure the complexity of a system how complex it has.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

the measure of complexity for a system is called degree of complexity. But until now, there is no commonly means to suitable for all complexity systems. In generally, we measure the degree of complexity for a system from one point of view or parameter. Currently, structure complexity, computational complexity, description complexity, and effective complexity are some well-rounded measure and we can use these means to measure the complexity of a system how complex it has.

Key concepts: Measure (data warehouse), Worst-case complexity, Descriptive complexity theory, Complexity index, Structural complexity theory, Structural complexity, Computational complexity theory, Average-case complexity

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