In general, using the default centroid method is good enough for most applications. Once you have created your initial fuzzy inference system, you can try other defuzzification methods to see if any improve your inference results. Highlight the centroid result, and gray out the MOM, SOM, and ...
Traditionally, in most of the articles on fuzzy decision making the defuzzification methods are not justified with respect to that of highest aspiration levels. This study highlights an efficient defuzzification (ranking) method which links between the gaps on the defuzzified values obtained using ...
►Feature based distance measure is proposed, several optimization methods are explored. ►Local and global features, estimated with high precision from the fuzzy set, are used. ►Practical application shows possible super-resolution reconstruction of image objects....
2. The Influence of Defuzzification Methods to Decision Support Systems Based on Fuzzy AHP with Scattered Comparison Matrix: Application to 3PLP Selection as a Case Study [J] . Tuljak-Suban Danijela, Bajec Patricija International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems . 20...
As an application, we study the continuity of set defuzzification processes on R n which are defined by Aumann integral methods.关键词:fuzzy set defuzzification hausdorff metric fuzzy measure DOI: 10.1016/j.fss.2005.06.008 被引量: 60 年份: 2006 ...
There are many examples and algorithms that explain the essence of the functioning of the developed methods. It is intended for students, postgraduates, researchers, engineers engaged in the development of intelligent systems and devices for controlling mechanisms. 1 被引用 · 0 笔记 引用 ...
Defuzzification converts a fuzzy set to a crisp value or set. Standard defuzzification methods are the center of gravity (COG) and the mean of maxima (MOM). A popular parametric defuzzification method is based on the basic defuzzification distribution (BADD). COG and MOM are special cases of ...
Ranking of SVTN-numbers are always a necessary step in solving the MADM problems under SVTN environment, and the literature review reckoned the existence of six to seven ranking methods. After all the existing ranking methods of SVTN-numbers are examined, we firstly define the concept of ...
It is well-known, defuzzification methods allow us to find aggregative crisp numbers or crisp set for fuzzy numbers. But different fuzzy numbers are often converted into one crisp number. In this case the loss of essential information is possible. It may result in inadequate final conclusions, ...
When dealing with large-scale scenarios, the aforementioned methods must be redesigned to allow scalability. Our proposal is based on a distributed MapReduce schema, relying on two ideas: first, a simple adaptation of a classic data-driven method to quickly obtain a set of rules, and, second,...