# 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: 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 ...
Abstract: This paper proposed a modified procedure of fuzzy LinPrera by adapting the Centroid method to defuzzify the final results into crisp values that best represents the whole set of fuzzy ...
Abstract: Recently, Type-2 (T2) Fuzzy Logic Systems (FLSs) gained increased attention due to their capability to better describe, model and cope with the ubiquitous dynamic uncertainties in many ...
Regression analysis is an important and comprehensive approach to analyze relationship between dependent variable and other one or more independent variables; it has a very wide range of applications ...
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