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Optimization Decision Method for Undergraduate Teaching Evaluation with Hybrid Data Information

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    Publication properties
    Title: Optimization Decision Method for Undergraduate Teaching Evaluation with Hybrid Data Information
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    Date: 2016
    Publication type: Technical report
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    Keywords
    1. Hybrid Data Information
    2. Hybrid Multi-attribute Decision Making
    3. Undergraduate Teaching Evaluation

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    Venue
    College of Mathematics and Physics, Huanggang Normal University

    Abstract

    Undergraduate teaching evaluation plays an important role in promoting the educational management and improving the teaching quality in colleges and universities. In this paper, considering the uncertainty and fuzziness in undergraduate teaching evaluation, we translate the problem of undergraduate teaching evaluation into a hybrid multi-attribute decision making with hybrid data which the attribute values integrate with real numbers, interval numbers and fuzzy numbers. To evaluate and rank the undergraduate teaching level for multiple alternative universities, we propose a novel optimization decision method based on grey relational analysis. Moreover, an application decision making example is given to highlight the implementation, availability, and feasibility of this optimization decision method.