2009•Journal of Hydroelectric EngineeringRequires access

Study on optimization of reservoir characteristic level based on TOPSIS method improved by entropy and vertical projection

Qiang Huang, Yimin Wang

Open publisher page 1 citations

Abstract

In allusion to the shortcoming of current methods for optimizing the reservoir characteristic level,an improved TOPSIS(Technique for order preference by similarity to ideal solution) method is adopted to optimize the parameters.According to the analysis of problems in the traditional TOPSIS,entropy and vertical projection are used to improve the TOPSIS method,which can avoid not only the non-determinacy and optional judgments resulted from subjective opinions, but also the problem that coinstantaneous scheme may be ideal or not,so that it can improve its scientificity and rationality.The application indicates that the reservoir characteristic level optimized by the improved TOPSIS method is reasonable and feasible.

About this research paper

What this paper is about

In allusion to the shortcoming of current methods for optimizing the reservoir characteristic level,an improved TOPSIS(Technique for order preference by similarity to ideal solution) method is adopted to optimize the parameters.According to the analysis of problems in the traditional TOPSIS,entropy and vertical projection are used to improve the TOPSIS method,which can avoid not only the non-determinacy and optional judgments resulted from subjective opinions, but also the problem that coinstantaneous scheme may be ideal or not,so that it can improve its scientificity and rationality.The application indicates that the reservoir characteristic level optimized by the improved TOPSIS method is reasonable and feasible.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In allusion to the shortcoming of current methods for optimizing the reservoir characteristic level,an improved TOPSIS(Technique for order preference by similarity to ideal solution) method is adopted to optimize the parameters.According to the analysis of problems in the traditional TOPSIS,entropy and vertical projection are used to improve the TOPSIS method,which can avoid not only the non-determinacy and optional judgments resulted from subjective opinions, but also the problem that coinstantaneous scheme may be ideal or not,so that it can improve its scientificity and rationality.The application indicates that the reservoir characteristic level optimized by the improved TOPSIS method is reasonable and feasible.

Key concepts: TOPSIS, Ideal solution, Entropy (arrow of time), Mathematical optimization, Mathematics, Computer science, Operations research, Quantum mechanics

Related papers

Back to paper searchBrowse research topicsOriginal source
Study on optimization of reservoir characteristic level based on TOPSIS method improved by entropy and vertical projection — Research Paper | ScholarLens