WSEAS Transactions on Advances in Engineering Education
Print ISSN: 1790-1979, E-ISSN: 2224-3410
Volume 16, 2019
Data Evaluation in Fuzzy Systems
Author:
Abstract: The data obtained from the operation mechanisms of large and complex systems connected to science and real life applications are frequently characterized by uncertainty and fuzziness. The paper at hands proposes a model for evaluating such kind of data with the help of the corresponding membership degrees and possibilities. Examples are also presented illustrating the applicability of the proposed model in practice.