Abstract: In a fuzzy control system, fuzzification and defuzzification are two important procedures. In this paper, two defuzzification methods respecting the fuzzification processes are introduced ...

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 ...

Fuzzy linear systems extend classical linear algebra to the treatment of imprecise data by allowing coefficients, variables or constants to be represented as fuzzy sets rather than exact values. Such ...

# 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, 10.1, 0.1) # 2. Define the ...

ABSTRACT: Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people ...