Title :
A new fuzzy model in systems assessment
Author :
Wang, Qiang ; Duanmu, Jingshun
Author_Institution :
Sch. of Eng., Air Force Eng. Univ., Xi´´an, China
Abstract :
The fuzzy systems theories were effective methods widely used in modern engineering realm where data were uncertain and lacking. Fuzzy and grey were the double-characters of most information in systems assessment. The whitenization and grey incidence models came from supportability assessment, and here enlarged in normal systems assessment. Accordingly, the models were modified. The new model called fuzzy whitenization and grey incidence model was initially presented to settle the problem of data uncertain and lacking in systems assessment. Fuzzy whitenization was a data processing method based on the basic theory indicates that it is easier to confirm relativeness than absoluteness. Based on whitening of qualitative indexes, the grey incidence analysis was executed in system concepts assessment, then, the assessment results can be got. An example to assess three different systems was applied to show how to use this model, and it is approved that the assessed result is effective. This model has a practical value in improving the accuracy of systems assessment results and in enhancing the development of systems efficiency.
Keywords :
decision making; fuzzy set theory; fuzzy systems; grey systems; matrix algebra; system theory; data lacking; data processing method; data uncertain; decision making; fuzzy model; fuzzy systems theories; fuzzy whitenization; grey incidence analysis; grey incidence model; matrix algebra; modern engineering; qualitative indexes; supportability assessment; systems assessment; Analysis of variance; Data engineering; Data processing; Decision making; Fuzzy set theory; Fuzzy systems; Information analysis; Quantization; Regression analysis; Shape;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341946