The grey input‐occupancy‐output analysis
Abstract
Purpose
The purpose of this paper is to propose the input‐occupancy‐output analysis for grey situations and to manage the economic systems with missing information. The situation is realistic in practice.
Design/methodology/approach
During the decision‐making process of an economic system, the managers often get some uncertain data for the missing information. Then, it becomes difficult to analyze the complex system by using the input‐occupancy‐output analysis. Since the uncertain data are grey numbers, the decision maker can control it by using grey system theory and the input‐occupancy‐output analysis.
Findings
Get the grey direct consumption and occupancy coefficient matrices and the computational formulas of their matrix‐covered sets. The grey model of input‐occupancy‐output analysis and its covered solution are also obtained.
Research limitations/implications
The chaos of the grey statistic data should satisfy a level of accuracy and it is key to get the number‐covered set that the true data belongs to.
Practical implications
A feasible approach to control the economic system that the accurate data are difficult to be obtained.
Originality/value
Give a new approach to study an economic system by using grey system theory.
Keywords
Citation
Li, Q. and Liu, S. (2009), "The grey input‐occupancy‐output analysis", Kybernetes, Vol. 38 No. 3/4, pp. 306-313. https://doi.org/10.1108/03684920910943985
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited