Analysis of Defuzzification Method for Rainfall Event

  • Kiran Kumar Uraon Mewar University, Gangrar,
  • Shiv Kumar Asst. Professor Mewar University, Gangrar
Keywords: Fuzzy Logic, Linguistic value, MF,, Bisector,, MOM, LOM, SOM etc

Abstract

Fuzzy Logic is present trend for decision making, classification and prediction
where problem can be formulated by mapping input variable with output variable or where
simple solution does not exists. There are three basic steps for fuzzy inference system such as
Fuzzification, rule evaluation and Defuzzification. Fuzzification means converting numeric value
into linguistic value. Human intuition method is well accepted method for the membership
function value assignment throughout the world. Fuzzy inference engine produce the result after
rule evaluation also in terms of linguistic value. All results are aggregated and defuzzified by any
Defuzzification method. It is very difficult to know which process will be suitable for which type
of data.
So, the main objective of this paper is to explore the basic concept of Defuzzification method for
the rain fall event with the help of wind speed and temperature variable by simulating on matlab
analyze the obtained results for different-different fuzzyfication methods the rain fall event in
“MatLab”.

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Author Biographies

Kiran Kumar Uraon, Mewar University, Gangrar,

M.Tech Scholar, Computer Science & Engineering, Mewar University, Gangrar, Chittorgargh-312901,India.


Shiv Kumar, Asst. Professor Mewar University, Gangrar

Asst. Professor, Computer Science & Engineering, Mewar University, Gangrar, Chittorgargh-312901,India.


Published
2016-04-30
How to Cite
Uraon, K. K., & Kumar, S. (2016). Analysis of Defuzzification Method for Rainfall Event. IJRDO -Journal of Computer Science Engineering, 2(4), 01-16. https://doi.org/10.53555/cse.v2i4.617