We evaluate the second model by comparing it with results from a single-slider survey. We discuss the theoretical insights that the two models allow and the advantages and disadvantages of each. 展开 关键词: Affective computing Emotion recognition Fuzzy logic Learning systems Natural languages ...
Based on a fuzzy logic and a panel logistic model, the models suggest 10 configurations (contexts) of sectoral specialisation of the EU regions, the most specialised regions being: Oost Nederland, Ouest FR, Saarland, Sachsen Anhalt, Schleswig Holstein, Thuringen, and Zuid Nederland; and various ...
At date, some types of models have been used for this goal, such as models based upon machine learning, statistical and softcomputing approaches. Goal: To propose a softcomputing model for predicting the number of online courses (NOC) needed from the number of students enrolled in Higher ...
In verification and validation stages, fuzzy model kept a MMER lower or equal than that regression model and an accuracies comparison of the models based on ANOVA, did not show a statistically significant difference amongst their means. This result suggests that fuzzy logic could be used for ...
The underlying mechanism of stochastic fuzzy logic is first discussed, and a stochastic generalized fuzzy model with new stochastic fuzzy rule base is then given. Based on their function approximation capability, these kinds of stochastic generalized fuzzy models are shown to be universal fuzzy models...
The experimental results, the fuzzy logic model, and the statistical results showed good correlations.The fuzzy logicmodels are developed using Matlab toolbox functions. 展开 DOI: 10.13140/RG.2.1.1828.6327 被引量: 1 年份: 2013 收藏 引用 批量引用 报错 分享 ...
This kind of knowledge expressed by FL is conceptually easy to understand, tolerant of the imprecise information, and easy for human communication. Thus, expert knowledge based fuzzy models are traditionally well interpretable3, which is the motivation of the approach with fuzzy logic. Expert ...
There are numerous statistical models for evaluating the degree of pollution in an environment. This study presents a fuzzy logicbased modelsimple fuzzy classification (SFC)for evaluating contamination of Ni and V species in the sediments of Nigeria's Ondo coastal area. Concentrations of five species...
Fuzzy Modeling and Fuzzy Control Publisher's description: Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are othe... Qiu,Peihua - 《Technometrics》 被引量: 175发表: 2008年 Fuzzy Models of First Order Languages Mathematical Log...
In some advanced trading models, the integration of fuzzy logic mathematics can also be used to help analysts create automated buy and sell signals. These systems help investors to react to a broad range of changing market variables that affect their investments. ...