This paper proposes a new method based on the ideal input vector to estimate inputs of a given decision making unit (DMU) when some or all of its outputs are increased to maintain its current efficiency level. In other words, this paper studied the following question: How much would be the increase in the inputs of the DMU if the decision maker increases certain outputs to a particular unit in ...

The traditional model upgrading paradigm for retrieval requires recomputing all gallery embeddings before deploying the new (dubbed as "backfilling"), which is quite expensive and time-consuming considering billions of instances in industrial applications. BCT presents first step towards backward-compatible upgrades to get rid backfilling. It workable but leaves a dilemma between feature discri...

The importance of measuring the efficiency State Madrasah Aliyah in Province Bangka Belitung is at least based on low achievement output or National Examination scores. This shows that implementation terms input and still not efficient. study aims to measure Islands 2017/2018 2018/2020 academic years. research uses a Data Development Analysis (DEA) approach type qualitative with non-parametric ...

Traditional DEA models do not deal with imprecise data and assume that the data for all inputs and outputs are known exactly. Inverse DEA models can be used to estimate inputs for a DMU when some or all outputs and efficiency level of this DMU are increased or preserved. this paper studies the inverse DEA for fuzzy data. This paper proposes generalized inverse DEA in fuzzy data envelopment anal...

Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and t...