Abstract
The comprehensive model with “weighted-objective nearness degree” is introduced in the process of multi-objective decision-making, by which a reduction problem of inference antecedents in traditional fuzzy inference method is studied. Moreover, SMTT fuzzy inference algorithm based on the comprehensive model with “weighted-objective nearness degree” is proposed. This algorithm not only shows the relative importance of every antecedent component in fuzzy inference, but also considers the influence of nearness degree between every antecedent component’s evaluation and inference objective on inference conclusions. The enactment of inference objective reflects the preference degree of decision-maker to every antecedent component’s evaluation. Therefore, it is much more fit for the demands of practical inference.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, Cy., Niu, Q., Li, J. (2009). The Premise Reduction of SMTT Inference Algorithm. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_61
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DOI: https://doi.org/10.1007/978-3-540-88914-4_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88913-7
Online ISBN: 978-3-540-88914-4
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