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The General Model for Least Convex Disparity RIM Quantifier Problems

Author

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  • Dug Hun Hong

    (Department of Mathematics, Myongji University, Yongin Kyunggido 449-728, Korea)

Abstract

Hong (Mathematics 2019, 7, 326) recently introduced the general least squares deviation (LSD) model for ordered weighted averaging (OWA) operator weights. In this paper, we propose the corresponding generalized least square disparity model for regular increasing monotone (RIM) quantifier determination under a given orness level. We prove this problem mathematically. Using this result, we provide the full solution of the least square disparity RIM quantifier model as an illustrative example.

Suggested Citation

  • Dug Hun Hong, 2019. "The General Model for Least Convex Disparity RIM Quantifier Problems," Mathematics, MDPI, vol. 7(7), pages 1-12, June.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:7:p:576-:d:243777
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    References listed on IDEAS

    as
    1. Dug Hun Hong & Sangheon Han, 2019. "The General Least Square Deviation OWA Operator Problem," Mathematics, MDPI, vol. 7(4), pages 1-20, April.
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