An Entropy-based Evaluation Model for Multiple Objective Decision Making on Adzuki Bean Germplasm
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    Abstract:

    In order to evaluate adzuki bean germplasm resources precisely, an entropy-based evaluation model for Multiple Objective Decision Making (MODM) was tested. Combining misty mathematics and the thought of entropy, the method of double base point in multi-property decision analysis was applied. After comprehensive evaluation, the order of eight adzuki bean entries in the test was decided from the best to the worst as following, B00766, B01805, B00091, B00651, B01670, B00655, B00388 and B00774. The MODM method can avoid the bias caused by single trait decision methods, and provide more reliable decision for parents selection in breeding programs. The MODM was an easy and precise method to handle in the evaluation procedure of adzuki bean germplasm resources based on multiple characteristics.

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