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25 results for “decision making unit”
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Research ArticleOpen accessIn the keywordsThe Evaluation of Relative Efficiency of Teaching HospitalsFereshteh Farzianpour, Shayan Hosseini, Tahera Amali et al.Problem statement: The main purpose of applying practical and scientific ways to evaluate the hospital’s performance and activities the optimal use of physical facilities ‘technology and the present human power. One the scientific way used for this purpose is using economic analysis and tools one of which is to determining hospitals’ technical efficiency the present study tries to determine the … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 27 Jan 2012 · 7,580 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Efficiency Measurement of Parallel Production Systems: A Non-radial Data Envelopment Analysis ModelAli Ashrafi, Azmi Bin Jaafar, Mohd Rizam Abu Bakar, Lai Soon LeeProblem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel units work individually; the sum of their own inputs/outputs is the input/output of the system. For … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 9,253 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment AnalysisAli Ashrafi, Azmi Bin Jaafar, Lai Soon Lee, Mohd Rizam Abu BakarProblem statement: Conventional Data Envelopment Analysis (DEA) helps decision makers to discriminate between efficient and inefficient Decision Making Units (DMUs). However, DEA does not provide more information about the efficient DMUs. Super-efficiency DEA model can be used in ranking the performance of efficient DMUs. Because of the possible infeasibility of radial super-efficiency DEA model, the ranking has been limited to … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 8,798 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBenchmarking in the Academic Departments using Data Envelopment AnalysisMohammad Mahallati Rayeni, Faranak Hosseinzadeh SaljooghiProblem statement: The purpose of this study is to analyze efficiency and benchmarking using Data Envelopment Analysis (DEA) in departments of University. Benchmarking is a process of defining valid measures of performance comparison among peer decision making units (DMUs), using them to determine the relative positions of the peer DMUs and, ultimately, establishing a standard of excellence. Approach: DEA can … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,172 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDistinguishing Congestion and Technical Inefficiency in Presence Undesirable OutputFaranak Hosseinzadeh Saljooghi, Mohammad Mahallati RayeniProblem statement: This study focuses on problems of congestion and how they might be treated in universities, also investigates a methodology to measure undesirable outputs congestion in addition to inputs congestion, from both theoretical and empirical perspectives. Congestion indicates an economic state where inputs are overly invested. Evidence of congestion occurs whenever reducing some inputs can increase outputs. Approach: The … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 2 Aug 2011 · 7,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated ARIMA and Multi-Scale GRU for Crop Recommendation and Yield Prediction in Precision AgricultureVani Vijay Kumar Ballapuram, Gurupraksh Chirathahalli DyamannaAgriculture is the fundamental source of food, income, and livelihood for rural communities in India. Numerous crops are affected due to the lack of technical decision-making support and variations in weather patterns, temperature, rainfall, and atmosphere factors, which play a critical role in defining crop yield. Hence, choosing the appropriate crop to maximize yield is key to enhancing real-time farming … …Journal of Computer Science, Vol. 21, Issue 10 · 26 Nov 2025 · 2,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Review ArticleOpen accessIn the abstractModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite