Fuzzy gain-scheduling is a special form of model-based fuzzy control that uses linguistic rules and fuzzy reasoning to determine the controller parameter transition policy for a dynamic plant subject to large changes in its operating state. Issues of stability and overall dynamic behavior are resolved using conventional modern control techniques. The design of a fuzzy gain-scheduling controller...

In this paper, a maximum likelihood estimation and a minimum entropy estimation for the expected value and variance of normal fuzzy variable are discussed within the framework of credibility theory. As an application, a credibilistic portfolio selection model is proposed, which is an improvement over the traditional models as it only needs the predicted values on the security returns instead of...

Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...

recently, tuning the weights of the rules in fuzzy rule-base classification systems is researched in order to improve the accuracy of classification. in this paper, a margin-based optimization model, inspired by support vector machine classifiers, is proposed to compute these fuzzy rule weights. this approach not only  considers both accuracy and generalization criteria in a single objective fu...

The use of biotechnological processes in modern industry is of increasing importance. Food production, pharmacology, and waste management are best-known elds microorganisms have already been successfully applied in. Like for any other industrial process, optimal running of fermentation processes requires at least the following criteria to be maximized: productivity, prootability, and security. ...