A Fuzzy Clustering Mathematical Model for Sub-assemblies Based on Game Theory

DOI

10.2991/pntim-19.2019.7How to use a DOI?

Keywords

Mathematical Model; Objective Function; Game Analysis

Abstract

Taking sub-assembly recognition problem as the research object and combining with the mathematical model of sub-assembly recognition algorithm, this paper analyzes the similarity and corresponding mapping between the objective function problem of sub-assembly recognition and the game problem. The object function of sub-assembly recognition is transformed into the benefit of game participants, and the parameter variable is transformed into game strategy space. The steps of game analysis for sub-assembly recognition algorithm are systematically planned, and the fuzzy clustering mathematical model of sub-assembly based on game theory is given. It is beneficial to the determination of each parameter of the target function of sub-assembly recognition algorithm, and can reduce the influence of parameter weight on the result of the algorithm. It has practical engineering application significance.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kou Xiaoxi
AU  - Cao Yan
AU  - Qiao Hu
AU  - Wu Yujia
PY  - 2019/11
DA  - 2019/11
TI  - A Fuzzy Clustering Mathematical Model for Sub-assemblies Based on Game Theory
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 27
EP  - 31
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.7
DO  - 10.2991/pntim-19.2019.7
ID  - Xiaoxi2019/11
ER  -