CN113052423A - Project feasibility evaluation method based on simulation intelligence - Google Patents
Project feasibility evaluation method based on simulation intelligence Download PDFInfo
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- CN113052423A CN113052423A CN201911384284.8A CN201911384284A CN113052423A CN 113052423 A CN113052423 A CN 113052423A CN 201911384284 A CN201911384284 A CN 201911384284A CN 113052423 A CN113052423 A CN 113052423A
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Abstract
The invention discloses a project feasibility evaluation method based on simulation intelligence, which comprises the following steps: acquiring data information of a project through an acquisition module; judging whether the project meets the basic condition of the project feasibility through an evaluation judging module; and step three, judging whether the requirements are met or not through the step two to obtain a result whether the project is feasible or not. The judgment module is further used for enabling the project evaluation admission model to process the evaluation data of the project to obtain the characteristic value of the project corresponding to the admission index of the project evaluation admission model. The invention provides a better project feasibility evaluation method, and the efficiency of project feasibility evaluation is improved.
Description
Technical Field
The invention relates to a project feasibility evaluation method based on simulation intelligence, and belongs to the technical field of project feasibility evaluation.
Background
The project feasibility assessment is a comprehensive system assessment method which carries out investigation research and assessment comparison on the aspects of technology, economy, engineering and the like through the main content and the matching conditions of the project, such as market demand, resource supply, construction scale, process route, equipment type selection, environmental influence, fund raising, profitability and the like, and predicts the financial, economic and social environmental influence which can be obtained after the project is built, so that the consultation opinions of whether the project is worth investing and how to construct are provided, and a basis is provided for project decision. The feasibility assessment has the characteristics of predictability, fairness, reliability and scientificity, however, a better project feasibility assessment method does not exist in the prior art, and the efficiency of project feasibility assessment in the prior art is generally low.
In order to solve the technical problems, a new technical scheme is especially provided.
Disclosure of Invention
The invention aims to provide a project feasibility evaluation method based on simulation intelligence to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a project feasibility assessment method based on simulation intelligence, the method comprising the steps of:
acquiring data information of a project through an acquisition module;
judging whether the project meets the basic condition of the project feasibility through an evaluation judging module;
and step three, judging whether the requirements are met or not through the step two to obtain a result whether the project is feasible or not.
Preferably, the judgment module is further configured to process the evaluation data line of the item by the item evaluation admission model to obtain a feature value of the item corresponding to the admission index of the item evaluation admission model.
Preferably, the project feasibility evaluation method based on the simulation intelligence further comprises a project evaluation admission model training module, wherein the project evaluation admission model training module is used for training the project evaluation admission model according to sample evaluation data of sample projects and determining admission conditions participating in project evaluation.
Preferably, the project evaluation admission model training module is further configured to process the sample evaluation data to obtain a sample feature value of the sample project corresponding to an admission index of the project evaluation admission model, determine distribution conditions of a performance project and default projects in the sample project corresponding to the admission index, train the project evaluation admission model according to the sample feature value and the distribution conditions, and determine admission conditions for participating in project evaluation.
Preferably, the project feasibility assessment method based on simulation intelligence further comprises a model verification module, and the model verification module is used for verifying the model goodness of fit and/or the model distinguishing capability of the credit assessment model according to the sample assessment data of the sample project and the credit condition of the sample project.
Compared with the prior art, the invention has the beneficial effects that: the method for evaluating the project feasibility is better, and the efficiency of evaluating the project feasibility is improved.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to the attached drawings of the specification, the invention provides a technical scheme that: a project feasibility assessment method based on simulation intelligence, the method comprising the steps of:
acquiring data information of a project through an acquisition module;
judging whether the project meets the basic condition of the project feasibility through an evaluation judging module;
and step three, judging whether the requirements are met or not through the step two to obtain a result whether the project is feasible or not.
Preferably, the judgment module is further configured to process the evaluation data line of the item by the item evaluation admission model to obtain a feature value of the item corresponding to the admission index of the item evaluation admission model.
Preferably, the project feasibility evaluation method based on the simulation intelligence further comprises a project evaluation admission model training module, wherein the project evaluation admission model training module is used for training the project evaluation admission model according to sample evaluation data of sample projects and determining admission conditions participating in project evaluation.
Preferably, the project evaluation admission model training module is further configured to process the sample evaluation data to obtain a sample feature value of the sample project corresponding to an admission index of the project evaluation admission model, determine distribution conditions of a performance project and default projects in the sample project corresponding to the admission index, train the project evaluation admission model according to the sample feature value and the distribution conditions, and determine admission conditions for participating in project evaluation.
Preferably, the project feasibility assessment method based on simulation intelligence further comprises a model verification module, and the model verification module is used for verifying the model goodness of fit and/or the model distinguishing capability of the credit assessment model according to the sample assessment data of the sample project and the credit condition of the sample project.
The invention provides a better project feasibility evaluation method, which improves the efficiency of project feasibility evaluation; in this embodiment, the evaluation data of the item may be directly obtained from the network through a plug-in, for example, a crawler tool may be used to capture data from the network, the evaluation data of the item may also be obtained after the authorization of the item, the evaluation data is stored in a background data server or other storage devices, and the evaluation data may be directly obtained from the background server or other storage devices when the data is obtained, or may also be obtained through other methods, which is not limited herein.
In this embodiment, in order to make the sample evaluation data more representative, an appropriate number of items may be selected as the sample items, and the number of the sample items may be set according to the requirement, which is not limited herein. In addition, in order to ensure the uniformity of the sample evaluation data and improve the accuracy of the admission condition, when the time starting point and the time ending point of the evaluation data of the sample items are selected, all the sample items are set to be the same time starting point and the same time ending point.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A project feasibility assessment method based on simulation intelligence is characterized in that: the method comprises the following steps:
acquiring data information of a project through an acquisition module;
judging whether the project meets the basic condition of the project feasibility through an evaluation judging module;
and step three, judging whether the requirements are met or not through the step two to obtain a result whether the project is feasible or not.
2. The simulation intelligence-based project feasibility assessment method of claim 1, wherein: the judgment module is further used for enabling the project evaluation admission model to process the evaluation data of the project to obtain the characteristic value of the project corresponding to the admission index of the project evaluation admission model.
3. The simulation intelligence-based project feasibility assessment method of claim 1, wherein: the project feasibility evaluation method based on the simulation intelligence further comprises a project evaluation admission model training module, wherein the project evaluation admission model training module is used for training the project evaluation admission model according to sample evaluation data of sample projects and determining admission conditions participating in project evaluation.
4. The simulation intelligence-based project feasibility assessment method of claim 3, wherein: the project evaluation admission model training module is further configured to process the sample evaluation data to obtain a sample feature value of the sample project corresponding to an admission index of the project evaluation admission model, determine distribution conditions of a performance project and a default project in the sample project corresponding to the admission index, train the project evaluation admission model according to the sample feature value and the distribution conditions, and determine admission conditions for participating in project evaluation.
5. The simulation intelligence-based project feasibility assessment method of claim 4, wherein: the project feasibility assessment method based on the simulation intelligence further comprises a model verification module, and the model verification module is used for verifying the model fitting goodness and/or the model distinguishing capability of the credit assessment model according to the sample assessment data of the sample project and the credit condition of the sample project.
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CN201911384284.8A CN113052423A (en) | 2019-12-28 | 2019-12-28 | Project feasibility evaluation method based on simulation intelligence |
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CN201911384284.8A CN113052423A (en) | 2019-12-28 | 2019-12-28 | Project feasibility evaluation method based on simulation intelligence |
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