Title of article :
Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness
Author/Authors :
Khalifa ، Hamiden Abd El-Wahed Operations Research Department - Faculty of Graduate Studies for Statistical Research - Cairo University , Edalatpanah ، Ahmad Department of Applied Mathematics - Ayandegan Institute of Higher Education , Bozanic ، Darko University of Defense in Belgrade
Abstract :
Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.
Keywords :
Smoothing problem , Piecewise quadratic fuzzy numbers , Close interval approximation , Probability Function , Pascal law , Geometrical modified law , Forecasting
Journal title :
Computational Algorithms and Numerical Dimensions (CAND)
Journal title :
Computational Algorithms and Numerical Dimensions (CAND)
