Abstract: A new method for the defuzzification of fuzzy numbers is developed in this paper. As is well-known, defuzzification methods allow to find aggregative crisp numbers for fuzzy numbers. But ...

1 Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece. 2 Department of Construction and Urban ...

The constructor of the FuzzyGBR model FuzzyGBR(defuz_method = "MOM", opt_index=0.5, distance="D1", boost_iterations = 100, learning_rate = 0.1, tree_depth = 1) "MOM" - mean of maxima, "COG" - center ...

ABSTRACT: To cope with the demand and supply of electrical load of an interconnected power system of a country, we need to forecast its demand in advance. In this paper, we use a fuzzy system to ...

# 1. Define the universe of discourse for the output variable. # `np.arange` creates a NumPy array. Here, it will produce 101 elements from 0 to 10. x = np.arange(0 ...