Optimization of Q-BTGSID Based on Sensitivity Analysis

Authors

Shuwei Jia, School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;

Abstract

Abstract: In order to make up for the defect that relative degree of incidence, absolute degree of incidence and synthetic degree of incidence are limited in the range of (0.5, 1], this paper attempts to improve the degree of grey incidence. A control factor of “λ” and the metric space are set up to adjust. A new model is established and its specific properties are studied. It is proved that the new model satisfies the grey incidence axioms and the range of degree of grey incidence can be extended to (0, 1]. We put forward four principles of the quasi-optimal value, and summarize the specific algorithm steps according to sensitivity analysis. The performances of all kinds of analysis models of degree of incidence are compared and the quasi-optimal value is obtained. In addition, the paper succeeds in showing that the new model not only keeps the original relation order, but also extends the range of degree of grey incidence to a broader scope, and improves the resolution.

Recommended Citation

Jia, Shuwei (2019) "Optimization of Q-BTGSID Based on Sensitivity Analysis," Journal of System Simulation: Vol. 30: Iss. 1, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201801010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/10

First Page

80

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201801010

Last Page

90

CLC

TP391.9

Recommended Citation

Jia Shuwei. Optimization of Q-BTGSID Based on Sensitivity Analysis[J]. Journal of System Simulation, 2018, 30(1): 80-90.

DOI

10.16182/j.issn1004731x.joss.201801010