Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://www.revistas.ucr.ac.cr/index.php/matematica/oai
Program implementation of the Rating Methods of preference ranking
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Keywords

Rating methods
preference ranking
selection problem
Métodos de valoración
ranking de preferencias
problema de escogencia

How to Cite

Torres, K., Sadovski, A., & Steidley, C. W. (2005). Program implementation of the Rating Methods of preference ranking. Revista De Matemática: Teoría Y Aplicaciones, 12(1-2), 165–171. https://doi.org/10.15517/rmta.v12i1-2.261

Abstract

Tide charts, based upon harmonic analysis, is the general method of choice for predicting water levels. In the shallow waters of the Gulf of Mexico, however, tide charts are woefully inadequate for the prediction of water levels. We have developed a number of models for the prediction of water levels. In this paper we summarize these methods and discuss the development of an axiomatic tool that we use to measure the quality of predictions of water levels in the estuaries and shallow waters of the Gulf of Mexico. This quality measure is based upon the preference rankings of National Ocean Service criteria by experts in the field.

https://doi.org/10.15517/rmta.v12i1-2.261
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References

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Sadovski, A. L.; Steidley, C.; Tissot, P.; Michaud, P. (2003) “Developing a goodness criteria for tide predictions based on fuzzy preference ranking”, in: Developments in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence 2718, Springer: 391–401.

Sadovski, A.L. (2001) “Preference ranking and decisions based on fuzzy expert information”, in: Advances in Fuzzy Systems and Evolutionary Computation, World Scientific Engineering Society Press, USA: 44–50.

Sadovski, L.E.; Sadovski, A.L. (1993) Mathematics and Sports. American Mathematical Society, RI.

NOS Procedures for Developing and Implementing Operational Nowcast and Forecast Systems for PORTS, National Oceanic and Atmospheric Administration, U.S. Department of Commerce, 1999.

Michaud, P.; Jeffress, G.A.; Dannelly, R.S.; Steidley, C. (2001) “Real-time data collection and the Texas Coastal Ocean Observation Network”, in: Proceedings of Emerging Technologies Conference, Instrument Society of America, Houston, Texas.

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