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Grey Multi-level Evaluation Model and Application on the Herdsmen's Green Dwelling on Grassland

Published: 29 May 2020 Publication History

Abstract

It employs the analytic hierarchy process (AHP) to establish a herdsman's living environment evaluation index system, and it combines the gray system theory to construct a gray multi-level evaluation model. Through case analysis, it is found that the evaluation results take into account the correlation between the index weights and the observed values. The evaluation results are objective, and the model operation is concise, which is helpful to the multi-level decision-making of green herdsman's living environment.

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  1. Grey Multi-level Evaluation Model and Application on the Herdsmen's Green Dwelling on Grassland

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    cover image ACM Other conferences
    IEEA '20: Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications
    March 2020
    138 pages
    ISBN:9781450376891
    DOI:10.1145/3386762
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 May 2020

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    Author Tags

    1. Comprehensive Evaluation
    2. Grey Theory
    3. Herdsman's Green Living Environment

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    Funding Sources

    • National Natural Science Foundation of China
    • Natural Science Foundation of Inner Mongolia
    • the institutions of higher learning scientific research projects of the Inner Mongolia

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    IEEA 2020

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