چکیده مقاله
Wave height prediction in offshore operations can be extremely complex due to availability of vague and uncertain information Integrated interdisciplinary modeling techniques, providing reliable, efficient, and accurate representation of the complex phenomenon of wave height prediction, have gained attention in recent years With the ability to express knowledge in a rule based form, the Rough Set Theory RST has been successfully employed in many fields However the application of RST has not been widely investigated in wave height prediction analysis In this paper, the basic concept of the rough set theory is introduced and implemented to discover some rules for wave hieght prediction in the Lake Superior The rules are derived by expressing wave height as functions of wind data gathered by National Data Buoy Center NDBC This approach represents a new mathematical tool quit different to other soft computing techniques in the decision rules induction Comparing results of Rough Set Theory with other soft computing technique namely Artificial Neural Networks ANNs indicates that the RST could analyze wave height efficiently and accurately, and provides a promising and helpful scheme for wave height predictions
کلیدواژهها
نویسندگان
Armaghan Abed-Elmdoust
PHD Student, School of Civil Engineering, College of Engineering, University of Tehran, Tehran
Reza Kerachian
Associate Professor, School of Civil Engineering, College of Engineering, University of Tehran
شیوه ارجاع
Abed-Elmdoust, Armaghan and Kerachian, Reza,1391,Application of Rough Set Theory in Wave Height Prediction,9th International Congress on Civil Engineering,Isfahan
ارائهشده در
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