Abstract: Recently, Type-2 (T2) Fuzzy Logic Systems (FLSs) gained increased attention due to their capability to better describe, model and cope with the ubiquitous dynamic uncertainties in many ...
1 Department of Electronics and Communications Engineering, East West University, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Savar, Bangladesh. 3 ...
To cope with the demand and supply of electrical load of an interconnected power system of a country, we need to forecast its demand in advance. In this paper, we use a fuzzy system to forecast ...
Computes defuzzified value using the Centroid (COG) method. numerator = sum(x * μ for x, μ in fuzzy_set) denominator = sum(μ for _, μ in fuzzy_set) Computes defuzzified value using the Largest of ...
A Clinical Decision Support System (CDSS) that utilizes a Fuzzy Inference System (FIS) to predict the risk of heart disease. Unlike traditional "crisp" logic systems that struggle with vague symptoms, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback