Research on the Synthetically Quantitative Evaluation System of Ecological Environment Quality of the Water Conservancy and Hydroelectric Power Project

Abstract:

The project quality management is not only modern management engineering is an important component, but also the core of project management, project quality is the root of the project construction, project construction process is to determine the key to success. Water conservancy and hydropower engineering quality management is water conservancy and hydropower engineering supervision engineer control core content. But due to the characteristics of water conservancy and hydropower engineering, but also makes the water conservancy and hydropower engineering quality control are both complicated and arduous task. In water conservancy and hydropower project construction practice, the quality problems still affects the project delivery on schedule and influence the realization of the expected benefits. Although in recent years countries successively formulated the department about the engineering quality of laws and regulations, the administrative departments at all levels of construction have also increased the quality of large project administrative supervision dynamics, but because has not yet set up a scientific system of quality evaluation index system, makes the project quality control lack of reliable data sources and realistic basis. In this paper, we investigate the problems for synthetically quantitative evaluation system of ecological environment quality of the water conservancy and hydroelectric power project with triangular fuzzy linguistic information. We utilize the fuzzy linguistic weighted harmonic mean (FLWHM) operator to aggregate the triangular fuzzy linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one (s). Finally, an illustrative example is given.

• Periodical: Advanced Materials Research (Volume 748)
• Pages: 987-993
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.748.987
• Online since: August 2013
• Authors: Qing Huang
• Keywords: Ecological Environment Quality, Fuzzy Linguistic Weighted Harmonic Mean (FLWHM) Operator, Hydroelectric Power Projects, Synthetically Quantitative Evaluation, Triangular Fuzzy Linguistic Variables, Water Conservancy

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