Evaluation Index System Design of Comprehensive Transportation Using Balanced Scorecard

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Hongmei Jia ◽  
Bo Dong ◽  
Zheng Li
2011 ◽  
Vol 121-126 ◽  
pp. 1769-1773
Author(s):  
Wen Ming Yang ◽  
Wei Jin An

Based on the analysis of several main evaluation index systems of regional science and technology (S&T) progress in-country and overseas, and refer to the idea of system dynamics and balanced scorecard, this paper explored the causality and dynamical structure of subjective and factor in index systems of regional S&T progress, probed its rules and relationship. After examined and reconstruction the statistical monitoring index system of S&T progress designed by Ministry of S&T in China, this paper putted forward a new framework of evaluation index system of regional S&T progress.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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