Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (1): 148-152.DOI: 10.12068/j.issn.1005-3026.2018.01.030

• Management Science • Previous Articles    

On Multi-phase Information Aggregation Methods Based on Improved Stratified Incentive Control Lines

LI Ling-yu1,2, GUO Ya-jun1, YI Ping-tao1, FENG Xue-li1   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110169, China; 2. School of Economics & Management, Nanchang University, Nanchang 330031, China.
  • Received:2016-06-28 Revised:2016-06-28 Online:2018-01-15 Published:2018-01-31
  • Contact: LI Ling-yu
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Abstract: Aiming at sequential dynamic comprehensive evaluation, based on multi-phase evaluation information aggregation, three improved stratified incentive methods of multi-phase information aggregation were proposed, i.e., the aggregation methods of stratifying according to proportion, of stratifying according to one dimensional clustering and of stratifying according to induced variables. Then their stratified models and the processes of information aggregation were analyzed. The improved methods can analyze the alternatives’ implicit information much more thoroughly, and protrude the inspiriting intention of decision makers flexibly. Finally, an example was used to testify the validity of these methods. In practical applications, decision-makers can select appropriate methods according to the needs of specific problems.

Key words: dynamic comprehensive evaluation, information aggregation, stratified incentive, improved incentive control line, induced variable

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