@inproceedings{scholars2526,
            note = {cited By 1; Conference of 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012 ; Conference Date: 27 November 2012 Through 29 November 2012; Conference Code:95653},
             doi = {10.1109/ISDA.2012.6416638},
            year = {2012},
         address = {Kochi},
           title = {Interval type 2 fuzzy logic for significant wave height forecasting},
         journal = {International Conference on Intelligent Systems Design and Applications, ISDA},
           pages = {794--798},
            isbn = {9781467351188},
          author = {Hashim, M. A. and Jaafar, J. and Taib, S. M.},
            issn = {21647143},
        abstract = {These days, fuzzy logic system has widely been applied in many applications, including wave forecasting. In current fuzzy logic development, researchers have started to use interval type 2 fuzzy as a solution to solve the uncertainties problem. The aim of this research is to propose a method to forecast significant wave height by using interval type 2 fuzzy logic. As part of the research, this paper focuses on two objectives; to extend type-1 fuzzy to type-2 fuzzy by assigning uncertainty to its type 1 counterpart and to predict significant wave height for 1 hour, 3 hours, 6 hours, 12 hours and 24 hours lead time. The root mean square error (RMSE) has been used to score the performance of both type 1 and type 2 fuzzy methods. The best result has shown at 6 hours lead time with RMSE of 0.1529. {\^A}{\copyright} 2012 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874346971&doi=10.1109\%2fISDA.2012.6416638&partnerID=40&md5=0bc6b64997655d1c0d9d65d7229f2dfb},
        keywords = {24 hours; Fuzzy logic system; Hindcasting; Interval type-2 fuzzy; Interval type-2 fuzzy logic; Leadtime; Root mean square errors; Significant wave height; Subtractive clustering; Type-2 fuzzy; Wave forecasting, Fuzzy logic; Intelligent systems; Mean square error; Research; Systems analysis; Water waves, Forecasting}
}