Abstract:
Fuzzy logic is one of the most successful technologies
today in the development of complex control systems, including
suitable for discretionary processes such as climate and others.
The study worked on analyzing the climate data in Khartoum
State for the year 2018 using descriptive analysis methodology
represent of the fuzzy logic by Matlab program.
The research objective estimate fuzzy model to predict of
weather and to verify that the research suppose the fuzzy logic it
more suitable for weather.
Two inputs and one output were used, and the three functions
for each were entrance ,they represented (lower, intermediate,
and higher) and took the triangular shape within the boundaries
of the function of relationship.
In general, this method has provided an accurate choice for the
best estimate of rainfall and thus becomes easy to use in
decision-making after defuzzyficatiom information.
The main results of the research is efficiency of the fuzzification
function were good in determining the value of relationship to
both temperature and pressure, the research also recommended a
combination of fuzzy logic and other artificial intelligence
mechanisms to increase control and prediction
