Designing an algorithm for evaluating decision-making units based on neural weighted function

作者：Saneifard R^*

来源：Neural Computing & Applications, 2013, 22(6): 1125-1131.

DOI：10.1007/s00521-012-0878-5

• Fuzzy number
• Defuzzification
• Ranking
• Parametric distance
• Decision maker's strategy

Fuzzy systems have gained more and more attention from researchers and practitioners of various fields. In such systems, the output represented by a fuzzy set sometimes needs to be transformed into a scalar value, and this task is known as the defuzzification process. Several analytic methods have been proposed for this problem, but in this paper, firstly the researchers introduce a novel parametric distance between fuzzy numbers and secondly suggest a new approach to the problem of defuzzification, using this distance. This defuzzification can be used as a crisp approximation with respect to fuzzy quantity. By considering this and with benchmark between fuzzy numbers, we can present a method for evaluating. The method can effectively evaluate various fuzzy numbers and their images and overcome the shortcomings of the previous techniques.

• 出版日期2013-5