Titlebook: Intelligent Decision Technologies; Proceedings of the 4 Junzo Watada,Toyohide Watanabe,Lakhmi C. Jain Conference proceedings 2012 Springer-

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书目名称Intelligent Decision Technologies影响因子(影响力)




书目名称Intelligent Decision Technologies影响因子(影响力)学科排名




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书目名称Intelligent Decision Technologies网络公开度学科排名




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书目名称Intelligent Decision Technologies被引频次学科排名




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书目名称Intelligent Decision Technologies年度引用学科排名




书目名称Intelligent Decision Technologies读者反馈




书目名称Intelligent Decision Technologies读者反馈学科排名

发电机

A Decision Table Method for Randomness Measurementr their improvement. This paper introduces a granules mining for measuring the random degree of error data which will enable decision makers to conduct accurate quality assessment and allocate the most severe data, thereby providing an accurate estimation of human and financial resources for conducting quality improvement tasks.

使虚弱

Bilevel Toll Optimization Problems: A Heuristic Algorithm Based Upon Sensitivity Analysissensitivity analysis is proposed. In order to make it easier to skip (if necessary) from different pricing environment, that is, from within the vicinity of a local solution to the neighborhood of another, a procedure is proposed making use of the “filled” function method.

palpitate

Conference proceedings 2012hnologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. .IDT has the potential to expand their support of decision making in such areas as fi

Hectic

背心

Oafishness

牲畜栏

A New Way to Make Decisions with Paired Comparisonsy of the final answer obtained with this method. We don’t discuss what kind of paired comparisons we should utilize, while we use paired comparisons in the Analytic Hierarchy Process (AHP) and the Analytic Network Process by T.L.Saaty in an example.

温和女孩

A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation De difference between the industries through the same subject evaluation by using the scale of the fuzzy clusters. We show a better performance from the use of our proposed method with several numerical examples.

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