Title :
Application of Entropy Weight Fuzzy Comprehensive Evaluation in Optimal Selection of Engineering Machinery
Author :
Yan, Jun ; Zhang, Tiefu ; Zhang, Bin ; Wu, Bangjun
Author_Institution :
Eng. Inst. of Eng. Corps, Nanjing
Abstract :
In order to overcome the subjective randomness in traditional fuzzy comprehensive evaluation, the weight value is modified based on the differential degree of evaluation indices, a new model for comprehensive evaluation-entropy weight fuzzy comprehensive evaluation model is established by using the concept of entropy in information engineering science. Then the model is applied to the optimization of engineering machinery. Calculation and result analysis were carried out through a loader case study. Results show that fuzzy comprehensive evaluation based on entropy weight method suits with the optimization of engineering machinery in which factors interact on each other. This method ensures the validity of optimization result by combining the external and subjective evaluation together, so it has upper applied value in practice.
Keywords :
fuzzy set theory; machinery; optimisation; entropy weight fuzzy comprehensive evaluation; information engineering science; optimal engineering machinery selection; Communication system control; Costs; Educational institutions; Engineering management; Entropy; Fuzzy control; Machinery; Military computing; Optimal control; Optimization methods; engineering machinery; entropy weight; fuzzy comprehensive evaluation; optimization;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.310