%0 Journal Article %1 noauthororeditor %A Tun, Wai Wai %D 2019 %J International Journal of Trend in Scientific Research and Development %K Artificial Centroid Defuzzification Fuzzification Intelligence average center method of sums weighted %N 5 %P 2194-2197 %R https://doi.org/10.31142/ijtsrd27909 %T Comparison of Defuzzification Methods from a Real World Problem %U https://www.ijtsrd.com/computer-science/artificial-intelligence/27909/comparison-of-defuzzification-methods-from-a-real-world-problem/wai-wai-tun %V 3 %X Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react how people think. It tries to make our sense of words and our decision making. As a result it is making to human intelligent systems. There are three basic steps for fuzzy logic system i.e. Fuzzification Rule evaluation and Defuzzification. In this paper I discuss a real life problem in which different results of same survey were presented. The survey data represent vague values in the form of fuzzy sets. To solve this problem we applied defuzzification methods to get the best result from surveys. I represent the most commonly used defuzzification methods and made comparison to choose the best one. Wai Wai Tun "Comparison of Defuzzification Methods from a Real World Problem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd27909.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/27909/comparison-of-defuzzification-methods-from-a-real-world-problem/wai-wai-tun

@article{noauthororeditor, abstract = {Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react how people think. It tries to make our sense of words and our decision making. As a result it is making to human intelligent systems. There are three basic steps for fuzzy logic system i.e. Fuzzification Rule evaluation and Defuzzification. In this paper I discuss a real life problem in which different results of same survey were presented. The survey data represent vague values in the form of fuzzy sets. To solve this problem we applied defuzzification methods to get the best result from surveys. I represent the most commonly used defuzzification methods and made comparison to choose the best one. Wai Wai Tun "Comparison of Defuzzification Methods from a Real World Problem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd27909.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/27909/comparison-of-defuzzification-methods-from-a-real-world-problem/wai-wai-tun }, added-at = {2019-09-12T14:32:09.000+0200}, author = {Tun, Wai Wai}, biburl = {https://www.bibsonomy.org/bibtex/2ff706394c9e4b884e910151229cec44d/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd27909}, interhash = {b83f43fb41eaf6491a97707790313f3e}, intrahash = {ff706394c9e4b884e910151229cec44d}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Artificial Centroid Defuzzification Fuzzification Intelligence average center method of sums weighted}, language = {English}, month = aug, number = 5, pages = {2194-2197}, timestamp = {2019-09-12T14:32:09.000+0200}, title = {Comparison of Defuzzification Methods from a Real World Problem }, url = {https://www.ijtsrd.com/computer-science/artificial-intelligence/27909/comparison-of-defuzzification-methods-from-a-real-world-problem/wai-wai-tun}, volume = 3, year = 2019 }