Systems Today
Systems Engineering Blog that captures interesting articles and information about System Engineering.
Dec 28, 2012
Business Process
Dec 19, 2011
Sep 22, 2011
It's Called a Systemigram
'via Blog this'
Aug 28, 2011
Feb 7, 2011
Test Statistic?
Jan 4, 2011
Fuzzy Logic Explained
So the author explained fuzzy systems by a great example: lawn sprinkler system. I'm going to give you my 2 cent, quick summary of the paper.
1- you need two inputs. Example: a) outdoor air temperature b) soil moisture
2- Knowledge Base
a. Create membership function: For example. Cold is 30-47, Cool=40-70, normal=60-84,warm=75-94, hot=90-110
So one temperature membership function, and one moisture membership function. What's interesting here is that both these axis are calibrated to a y axis, called mu.
b. Make if then rules. The rule base needs to be verified by some sort of validated knowledge.
c. Fuzzification Module:
The name itself tells you alot about what is happeneing. Fuzzification of crisp inputs are made to fuzzy inputs. For example, outside temperature of 90 degrees would be transformed to 0.23 of "warm" in fuzzy terms.
d.Now it's time for decision making(rule strength). We use Min Max to make decisions.
example: if temp is hot (0.6) and soil is dry(0.27), then water duration is long. RS=0.27
e.Determine Fuzzy output: So if you have four outputs from D, then you go with majority. So if you have 2 long, and 2 mediums, your fuzzy output is long! The max of the rule strengths!
f. Lastly, it's time for Defuzzification: The purpose is to take the output of step e( fuzzy output), and come up with a crisp value. There are 4-5 methods to come up with a value, but in the lecture note, they use Center OF GRAVITY.
COG takes the area in abcdef, and finds the center of gravity. I'll hopefully have some time to add more ways to find the center of gravity.
The entire process is best captured in this diagram that I found on the internet.
2011, and back up again
Vitech Core, a new practice to implement the DoDAF Feature
Jun 18, 2010
May 24, 2010
Challenges of acquiring a PhD
PhD students have to take responsibility managing their own learning and getting a PhD. They are also responsible for determining what is required as well as for carrying it out, and must always keep in touch in regular meetings with the supervisor. The student is the main person responsible for his/her PhD research. Doing a PhD clearly indicates that this is a student’s own research and work. The actual research to be reported used the case study method. Three Malaysian PhD students from three major disciplines of study, arts, science and social science, were interviewed in depth several times within a year. However only one case study which focusing on Science discipline will be presented in this article in order to achieve a better understanding of the story. All three case studies would make the present article too long. The objective of this research is to provide better guidelines for effective roles of a PhD Science student especially the foreign student. As a result, the research had developed the best effective roles in order for students to success in their study.