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In this book, the new aspect of target setting and resource allocation in data envelopment analysis is presented. The existing data envelopment analysis (DEA) target models are just defined for exact data. Considering the importance of imprecise data such as fuzzy, ordinal and interval data in organizations, DEA target models and method are proposed with some advantages over the previous ones, and also defined for imprecise data. The suggested target models for imprecise data are originally non-linear mathematical programming problems, but two proposed methods are used to convert them to the...

In this work, the relations between data envelopment analysis and queuing models are proposed. Via our new approach, some drawbacks of the previously methods for large scale computer networks are rectified. Meanwhile the proposed method is also defined for fuzzy queuing models. The major goal of our new aspect is the relation between DEA and queuing system which has been rarely noticed by researchers. Also, we want to show that how DEA can increase the overall efficiency in any system. Our main aim is the capability and the usage of DEA even in queuing system. The objectives of the work are...