Construction engineering project cluster establishment method introducing cloud model for evaluation and selection

Abstract

The invention provides a construction engineering project cluster establishment method introducing a cloud model for evaluation and selection. The construction engineering project cluster establishment method comprises the steps that step 1, a construction engineering project cluster establishment selection and evaluation index system is established; step 2, variable clouding is performed, and all parameters of the cloud model are confirmed according to change range of evaluation indexes and the definition interval of evaluation scores; step 3, the scores of all the evaluation indexes are calculated by utilizing a cloud uncertainty reasoning algorithm; step 4, weight coefficient of each evaluation index is confirmed according to an entropy weight method; step 5, priority assessment is performed on engineering projects to be selected; and step 6, the most reasonable construction engineering project cluster is established. The cloud model in the field of artificial intelligence is introduced to the construction engineering project cluster establishment selection and evaluation in view of fuzzy and random problems existing in the construction engineering project cluster establishment selection and evaluation process so that effective conversion between a qualitative concept and quantitative numerical representation thereof can be realized, and the evaluation result is more objective and accurate.

Description

technical field [0001] The invention relates to the field of construction project group management, in particular to a method for constructing a construction project group by introducing a cloud model for evaluation and selection. Background technique [0002] On the basis of the horizontal identification of a series of engineering projects' strategic position, relative role and risk impact and other factors, selecting the most suitable multi-project construction program group is the primary task of construction project group management. Whether the evaluation indicators identified in the project group construction model and the decision-making methods adopted will directly affect the evaluation of project priority and the composition of the project group, and then affect the realization of the strategic goals of the construction enterprise. Therefore, a scientific and effective program construction selection evaluation index system and decision-making model will be an impor...

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Problems solved by technology

[0003] At present, domestic and foreign scholars’ research on the evaluation methods of project selection and program construction can be divided into two categories: one is single-factor evaluation methods, such as financial analysis method, linear programming method, etc., these methods generally only consider the financial indicators of the project, For example, a small number of simple influencing factors such as net present value and internal rate of return, the evaluation standard is too single, and the accuracy of the data is high, so it is difficult to reflect the comprehensive characteristics of the candidate; the other type is the multi-factor evaluation method, such as ANP( Network analysis), DEA (data envelopment analysis), fuzzy mathematics and other traditional comprehensive evaluation methods, these methods have played a certain reference role in the construction and selection of program groups, but most of the existing research results have not been able to simultaneously Taking into account the ambiguity of the concept and the randomness of the evaluation, it does not effectively give a reasonable numerical representation of the qualitative concept, so the evaluation result may be inaccurate

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