Code of fuzzy Bayes risk model

Published: 29-07-2020| Version 1 | DOI: 10.17632/t52zj2z6y7.1
Contributor:
Mingliang Suo

Description

Introduction: This main idea of this code is selecting features with relative lower risk by using a fuzzy Bayes risk model. In Ref. [2], we proposed a fuzzy Bayes risk model for weight assignment in Labeled Multiple Attribute Decision Making (LMADM) that is firstproposed in our methodology. Then, we revised it and expended it to select optimal feature subset, see Ref. [1]. This is the main access function, just run it in Matlab. Please cite the above two references when you use it everywhere. If you have any questions, please contact me via Email: suozi@buaa.edu.cn 2020.07.29 Ref. [1] https://doi.org/10.1016/j.ast.2018.11.049 Ref. [2] https://doi.org/10.1016/j.knosys.2018.04.002

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