This paper addresses the design of a fuzzy control system with a fuzzy controller and a fuzzy estimator for a fossil fuelled drum boiler-turbine-generator unit on the basis of a dynamic fuzzy model that was developed in our recently published paper. In the design procedure, a dynamics augmentation is introduced and a dynamic fuzzy augmented system is then determined for the nonlinear boiler-tur...

Fuzzy set theory has been extensively applied to extend various database models(conceptual and logical) and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. So this paper reviews fuzzy logical database models, in which fuzzy relational databases are discussed.

Fuzzy set theory has been extensively applied to extend various database models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy object-oriented database models. This paper reviews fuz...

Fuzzy Dynamic Programming approach to the solution of unit commitment problem is presented and described in detail. The Fuzzy Dynamic programming provides the ‘fuzzy’ preference in obtaining an optimal solution in the presence of conflicting objectives and constraints. The Fuzzy dynamic programming handles one objective (i.e. minimization of operational cost) and two constraints (i.e. generatio...

Fumarate reductase (FRD) is an enzyme that reduces fumarate to succinate. In many organisms, it is bound to the membrane and uses electron donors such as quinol. In this study, an FRD from a thermophilic chemolithoautotrophic bacterium, Hydrogenobacter thermophilus TK-6, was purified and characterized. FRD activity using NADH as an electron donor was not detected in the membrane fraction but wa...

Relational clustering is an extension of clustering for relational data. Fuzzy c-Medoids (FCMdd) based linear fuzzy clustering extracts intrinsic local linear substructures from relational data. However this linear clustering was affected by noise or outliers because of using Euclidean distance. Alternative Fuzzy c-Means (AFCM) is an extension of Fuzzy c-means, in which a modified distance meas...

In this paper we introduce a fuzzy approach for image retrieval based on color features. Our method deals with two problems related to imprecision: the vagueness in the color description and the representation of fuzzy data in database models. To face the first problem, the concept of dominant fuzzy color is introduced to describe the image, using linguistic labels for representing the color in...

 Minimum and maximum operators are two well-known t-norm and s-norm used frequently in fuzzy systems. In this paper, two different types of fuzzy inequalities are simultaneously studied where the convex combination of minimum and maximum operators is applied as the fuzzy relational composition. Some basic properties and theoretical aspects of the problem are derived and four necessary and suffi...