Optimization of Fuzzy Topological Symbiotic Structure Based on Fuzzy Analytic Hierarchy Process

Authors

  • Keying Zhao School of Mathematics and Information Sciences, Neijiang Normal University, Neijiang 641100, China
  • Kai Mu Party and Government Office, Sichuan Business Vocational College, Chengdu 610000, China

Abstract

In order to overcome the poor performance of the traditional fuzzy topological symbiotic structure optimization method, a new fuzzy topological symbiotic structure optimization method based on Fuzzy AHP is proposed. This method uses a particle swarm optimization algorithm to initialize particle swarm uniformly and randomly in the feasible region of fuzzy topology, selects the non inferior solution particles as the “elite solution set”, and allocates the fitness value of the non-inferior solution particles in the elite set by niche technology. According to the information of fuzzy topological symbiosis structure, the information exchange of fuzzy topological symbiosis structure is realized by fuzzy analytic hierarchy process. The objective value of the function is calculated, and the optimization result of the fuzzy topological symbiosis structure is solved by using a genetic algorithm. The
experimental results show that the optimization performance of the proposed method is better than that of the traditional method, improving which can improve the performance of the fuzzy topological symbiosis structure.

Keywords: Fuzzy Analytic Hierarchy Process, Fuzzy Topology, Symbiotic Structure Optimization, Elitist Solution Set, Non Inferior Solution Particle, Niche Technology

Cite As

K. Zhao, K. Mu, "Optimization of Fuzzy Topological Symbiotic Structure Based on Fuzzy Analytic Hierarchy Process",
Engineering Intelligent Systems, vol. 30 no. 2, pp. 149-158, 2022.

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Published

2022-03-01

Issue

Vol. 30 No. 2 (2022): International Journal of Engineering Intelligent Systems

Section

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