Combination weight assignment based on rough set and information entropy for inertial measurement unit evaluation

Ke Ma; Shengzhong Xu; Chunqing Zhuang; Jingyi Xing; Mingliang Suo

doi:10.1117/12.3012312

21 December 2023 Combination weight assignment based on rough set and information entropy for inertial measurement unit evaluation

Ke Ma, Shengzhong Xu, Chunqing Zhuang, Jingyi Xing, Mingliang Suo

Author Affiliations +

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297016 (2023) https://doi.org/10.1117/12.3012312
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Inertial measurement unit (IMU) evaluation, which plays an important role in the selection, storage scheme design, maintenance plan formulation, etc. of IMU, often uses the multi-attribute decision-making (MADM) methodandconsiders multidimensional information to produce a reliable result. To address the issues of bias and one-sidedness of asingle weighting method, a combination weighting method based on a rough set and information entropy is raisedinthispaper. This proposed method, integrating the statistical characteristics of data, information features, and decisionriskthat are necessary factors for data-driven weight assignment, constructs a feasible set of weight assignment methods. Based on the information entropy, the importance of each method in the constructed set can be calculated. Subsequently, the comprehensive weights under the feasible set can be yielded with the help of the rough set theory-based redundancyelimination method. Finally, the feasibility and effectiveness of the proposed methods are verified by a practical engineering case, i.e., the accurate evaluation of IMU.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ke Ma, Shengzhong Xu, Chunqing Zhuang, Jingyi Xing, and Mingliang Suo "Combination weight assignment based on rough set and information entropy for inertial measurement unit evaluation", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297016 (21 December 2023); https://doi.org/10.1117/12.3012312

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