Fuzzy specification in software engineering



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Lopez, Victoria and Montero, Javier (2007) Fuzzy specification in software engineering. In Information Sciences 2007. Proceedings of the 10th Joint Conference Salt Lake City, Utah, USA, 18 – 24 July 2007. World Scientific, Singapore, pp. 1377-1383. ISBN 978-981-270-967-7

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Official URL: http://www.worldscientific.com/doi/pdf/10.1142/9789812709677_0196


Judging quality of any decision making procedure is a key problem whenever there is no possibility of developing a sequence of experiments allowing some kind of ratio relative to good results. It may be the case that we have only chances for a unique experiment or no similar experiences are available, but it may be also the case that no standard experiment allows the observation of
such a good behavior, simply because such good behavior can not be properly defined. This situation is quite often associated to complex decision making problems. Then the only support we can find for our decision is the decision process itself, the consistency of the arguments leading to such a decision.
Checking the quality of such a procedure is therefore a key issue. In this paper we postulate that the design and formal specification of algorithms and processes require a fuzzy approach, since quite often specification is being poorly dened.

Item Type:Book Section
Uncontrolled Keywords:Fuzzy logic; Formal specification; Fecision making.
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:29054
Deposited On:06 Mar 2015 08:51
Last Modified:19 Apr 2016 17:08

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