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Adaptive fuzzy logic based framework for handling imprecision and uncertainty in software development effort prediction models

机译：基于自适应模糊逻辑的框架，用于处理软件开发工作预测模型中的不精确和不确定性

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Muzaffar Syed Zeeshan;
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年度 2006
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原文格式 PDF
正文语种 {"code":"en","name":"English","id":9}
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1. Handling Imprecision And Uncertainty In Software Development Effort Prediction: A Type-2 Fuzzy Logic Based Framework [J] . Moataz A. Ahmed, Zeeshan Muzaffar Information and software technology . 2009,第3期

机译：处理软件开发工作量预测中的不精确性和不确定性：基于2型模糊逻辑的框架
2. Adaptive fuzzy logic-based framework for handling imprecision and uncertainty in classification of bioinformatics datasets [J] . Helmy T., Rasheed Z., Al-Mulhem M. International journal of computational methods . 2011,第3期

机译：基于自适应模糊逻辑的框架，用于处理生物信息学数据集分类中的不精确性和不确定性
3. Adaptive fuzzy logic-based framework for software development effort prediction [J] . Moataz A. Ahmed, Moshood Omolade Saliu, Jarallah AlGhamdi Information and software technology . 2005,第1期

机译：基于自适应模糊逻辑的软件开发工作量预测框架
4. Handling imprecision in inputs using fuzzy logic to predict effort in software development [C] . Verma H.K., Sharma V. Advance Computing Conference (IACC) . 2010

机译：使用模糊逻辑处理输入中的不精确度以预测软件开发的工作量
5. Adaptive Fuzzy Logic based framework for handling imprecision and uncertainty in pattern classification of bioinformatics datasets. [D] . Rasheed, Zeehasham. 2009

机译：基于自适应模糊逻辑的框架，用于处理生物信息学数据集模式分类中的不精确性和不确定性。
6. Software Development Effort Estimation Using Regression Fuzzy Models [O] . Ali Bou Nassif, Mohammad Azzeh, Ali Idri, 2019

机译：基于回归模糊模型的软件开发工作量估算
7. ADAPTIVE FUZZY LOGIC BASED FRAMEWORK FOR HANDLING IMPRECISION AND UNCERTAINTY IN PATTERN CLASSIFICATION OF BIOINFORMATICS DATASETS [O] . Rasheed Zeehasham 2009

机译：基于自适应模糊逻辑的框架处理生物信息数据的模式分类中的不精确和不确定性

Adaptive fuzzy logic based framework for handling imprecision and uncertainty in software development effort prediction models

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