OHAIMay 23, 2019

Deep Fuzzy Systems

arXiv:1906.08222v11 citations
Originality Synthesis-oriented
AI Analysis

This work presents a theoretical framework for recursive fuzzy systems, but it appears incremental as it builds on existing fuzzy logic concepts without addressing a specific real-world problem.

The paper introduces deep fuzzy systems, which are represented by recursive fuzzy systems using fuzzy transmission functions and recursive calls, and employs a connection matrix to model these recursive structures.

An investigation of deep fuzzy systems is presented in this paper. A deep fuzzy system is represented by recursive fuzzy systems from an input terminal to output terminal. Recursive fuzzy systems are sequences of fuzzy grade memberships obtained using fuzzy transmition functions and recursive calls to fuzzy systems. A recursive fuzzy system which calls a fuzzy system n times includes fuzzy chains to evaluate the final grade membership of this recursive system. A connection matrix which includes recursive calls are used to represent recursive fuzzy systems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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