Abstract

The core of engineering education Accreditation is to estimate engineering education qualification of each institute and make a direction for institutes development. The purpose of Accreditation is to improve universities ability to educate high quality engineers and to enhance Chinese engineering education and to make pace with international engineering education. Educational resources that affect the engineering education accreditation is one of important factors, Therefore, the model of educational resource for engineering education Accreditation becomes very important to insure the quality of Accreditation. This paper use Cloud Hierarchical Analysis (CHA) to deal with the fuzziness and uncertainty in the engineering education Accreditation. The Cloud Hierarchical Analysis can efficiently describe the fuzziness and randomness of judgment graphically by cloud figure and provide a picture for decision maker. Using cloud operator and geometric mean method to calculate the Cloud weights for each positive reciprocal Cloud matrix, and these weights are combined to determine the final Cloud scores for the alternatives. Finally, the calculation results show that Cloud Hierarchical Analysis model is suitable for educational resources of engineering education Accreditation.

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