BACKGROUND When dogs are transfused, blood compatibility testing varies widely but may include dog erythrocyte antigen (DEA) 1 typing and rarely cross-matching. OBJECTIVES Prospective study to examine naturally occurring alloantibodies against red blood cells (RBCs) and alloimmunization by transfusion using 2 antiglobulin-enhanced cross-match tests. ANIMALS Eighty client-owned anemic, 72 do...

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 ...

Since finance is the core of economic development, green development financial industry an essential driving force not only for achieving dual “carbon” goal China but also and social sustainable development. An accurate understanding ecological efficiency great importance guiding In this paper, we first calculate carbon footprint China’s in 2012 2017 based on life cycle theory input–output anal...

In this paper we propose a data envelopment analysis (DEA) based method for assessing the comparative efficiencies of units operating production processes where input–output levels are inter-temporally dependent. One cause of inter-temporal dependence between input and output levels is capital stock which influences output levels over many production periods. Such units cannot be assessed by tr...

DEA is a non-parametric and linear programming based technique that attempts to maximize a decision making unit’s (DMUs) relative efficiency, expressed as a ratio of outputs to inputs, by comparing a particular unit’s efficiency with the performance of a group of similar DMUs that are delivering the same service. The traditional DEA models treat DMUs as black boxes whose internal structure is i...

Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in real-world problems are often imprecise or vague. These imprecise and vague data can be represented by linguistic terms characterised by fuzzy numbers in DEA to reflect the decision-makers' intuition and subjective judgements. This ...

The blood group antigen Dog Erythrocyte Antigen (DEA) 1.1 is clinically the most important canine blood group as DEA 1.1 antibodies are capable of causing acute haemolytic, potentially life-threatening transfusion reactions. Dogs do not have naturally occurring antibodies to DEA 1.1 but are rapidly sensitised by the first incompatible transfusion. The prevalence of DEA 1.1 in the general dog po...

Management performance measurement is a complex task since multiple inputs and multiple outputs are involved in the process. This study attempted to develop a comprehensive framework to encompass the basic concepts of Balance Scorecard (BSC) and data envelope analysis (DEA) to measure the management performance. BSC and DEA are complemental to each other. On one hand, BSC can provide appropriat...

Airport efficiency is an area of increasing interest to academics, policy makers and practitioners. This has resulted in a body of literature applying various econometric techniques to compare efficiency between different samples of airports. This paper uses the multi-criteria decision making method Analytic Hierarchy Process (AHP) to incorporate the weightings of input and output variables int...

This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis DEA to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated byData Envelopment Analysis DEA and separately formulates each pair...