Weight-based cloud reasoning algorithm
Yang Cha · Journal of Computer Applications · 2014
Although the normal cloud model is universally used,it faces some difficulties when describing some monotonic rise/fall conceptions. This model also has big subjective influence under multiple conditions and large computation consumption. To overcome these shortcomings,a new kind of exponential cloud model was provided along with a weight based cloud reasoning algorithm. By splitting the multi-condition generator to several single-condition generators,the algorithm firstly used Analytic Hierarchy Process( AHP) method to get weight of each property,and then used them to calculate weighted average of single-condition generator output to quantitfy value. The validation and effectiveness of this method is checked through a comparison between fuzzy reasoning and stimulation of torpedo avoid system.