Decision based examination of object-oritented methodology using JML.
Márien, Szabolcs (2008)
Annales Mathematicae et Informaticae
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Márien, Szabolcs (2008)
Annales Mathematicae et Informaticae
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Chen, Chen-Tung, Hung, Wei-Zhan (2009)
Journal of Applied Mathematics and Decision Sciences
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Liu Wenjun (2016)
Open Mathematics
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In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute...
C. Bielza, M. Gómez, S. Ríos-Insua, P. García Barreno, M. Sánchez Luna, A. Mateos, M. Sánchez Luna, D. Blanco (1998)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Sixto Ríos-Insua, Alfonso Mateos (1996)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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We consider the multi-attribute decision making problem with incomplete information on the decision maker's preferences, given by an imprecise vector utility function. We introduce an approximation set to the utility efficient set which may be used to aid a decision maker in reaching a final compromise strategy. We provide sorne properties and an interactive procedure based on such approximation set.
Rong Zhang, Bin Liu, Sifeng Liu (2010)
Computer Science and Information Systems
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Goran Ćirović (2001)
The Yugoslav Journal of Operations Research
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Abd El-Monsef, M.M.E., Kilany, N.M. (2007)
International Journal of Mathematics and Mathematical Sciences
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S. Beck, Ralf Mikut, Jens Jäkel (2004)
Mathware and Soft Computing
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Designing classifiers may follow different goals. Which goal to prefer among others depends on the given cost situation and the class distribution. For example, a classifier designed for best accuracy in terms of misclassifications may fail when the cost of misclassification of one class is much higher than that of the other. This paper presents a decision-theoretic extension to make fuzzy rule generation cost-sensitive. Furthermore, it will be shown how interpretability aspects and...
Gregory Vert, Ashley Morris, J. Heaton (2006)
Control and Cybernetics
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