Zhang Shuai, Yu Dejian, Wang Yan, Zhang Wenyu
School of Information, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
ScientificWorldJournal. 2014 Feb 23;2014:234241. doi: 10.1155/2014/234241. eCollection 2014.
The evaluation is an important approach to promote the development of the E-Government. Since the rapid development of E-Government in the world, the E-Government performance evaluation has become a hot issue in the academia. In this paper, we develop a new evaluation method for the development of the E-Government based on the interval-valued intuitionistic fuzzy set which is a powerful technique in expressing the uncertainty of the real situation. First, we extend the geometric Heronian mean (GHM) operator to interval-valued intuitionistic fuzzy environment and proposed the interval-valued intuitionistic fuzzy GHM (IIFGHM) operator. Then, we investigate the relationships between the IIFGHM operator and some existing ones, such as generalized interval-valued intuitionistic fuzzy HM (GIIFHM) and interval-valued intuitionistic fuzzy weighted Bonferoni mean operator. Furthermore, we validate the effectiveness of the proposed method using a real case about the E-Government evaluation in Hangzhou City, China.
评估是促进电子政务发展的重要途径。自电子政务在全球迅速发展以来，电子政务绩效评估已成为学术界的热点问题。本文基于区间值直觉模糊集开发了一种新的电子政务发展评估方法，区间值直觉模糊集是一种表达现实情况不确定性的有力技术。首先，我们将几何海伦均值（GHM）算子扩展到区间值直觉模糊环境，并提出了区间值直觉模糊GHM（IIFGHM）算子。然后，我们研究了IIFGHM算子与一些现有算子之间的关系，如广义区间值直觉模糊HM（GIIFHM）和区间值直觉模糊加权邦费罗尼均值算子。此外，我们利用中国杭州市电子政务评估的实际案例验证了所提方法的有效性。
