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Main Authors: Hori, Atsushi, Sekitani, Kazuyuki
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2404.14820
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author Hori, Atsushi
Sekitani, Kazuyuki
author_facet Hori, Atsushi
Sekitani, Kazuyuki
contents Incorporating an assurance region (AR) into the slacks-based measure (SBM) improves practicality; however, its efficiency measure may not have desirable properties, such as monotonicity. We incorporate a closer target setting approach into the SBM with AR and a variant of the SBM with AR. We demonstrate that the efficiency measure with the hybrid approach has the same desirable properties as that without AR, and we also show that the efficiency scores can be computed by solving linear programming problems. Our proposed approach can handle zeros in the observed input-output data without any data transformation or additional model modification.
format Preprint
id arxiv_https___arxiv_org_abs_2404_14820
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Variants of the slacks-based measure with assurance region and zeros in input-output data
Hori, Atsushi
Sekitani, Kazuyuki
Optimization and Control
Incorporating an assurance region (AR) into the slacks-based measure (SBM) improves practicality; however, its efficiency measure may not have desirable properties, such as monotonicity. We incorporate a closer target setting approach into the SBM with AR and a variant of the SBM with AR. We demonstrate that the efficiency measure with the hybrid approach has the same desirable properties as that without AR, and we also show that the efficiency scores can be computed by solving linear programming problems. Our proposed approach can handle zeros in the observed input-output data without any data transformation or additional model modification.
title Variants of the slacks-based measure with assurance region and zeros in input-output data
topic Optimization and Control
url https://arxiv.org/abs/2404.14820