Type-II fuzzy sets are used to convey the uncertainties in the membership function of type-I fuzzy sets. Linguistic information in expert rules does not give any information about the geometry of the membership functions. These membership functions are mostly constructed through numerical data or range of classes. But there exists an uncertainty about the shape of the membership, that is, wheth...

Many researchers have used fuzzy logic system to predict the time series data. In fuzzy system, the crisp data are converting into fuzzy data based on membership function. The futuristic data is predicted using previous data and fuzzy relation. But, in fuzzy system, there are many existing and derived membership functions which are used to fuzzify data. In this paper, an effort has been made to...

We propose an alternative learning method for category classification knowledge. Our method induces a membership function for a category from positive and negative examples. It can learn "topological knowledge" such as typicality of an example. Our method consists of two stages: example space configuration of a coordinate system in the first stage, induction of membership function that induces ...

Linear programming problems with fuzzy coefficients in the objective function are considered. Emphasis is on the dependence of the optimal solution from linear perturbations of the membership functions of the objective function coefficients as well as on the computation of a robust solution of the fuzzy linear problem if the membership functions are not surely known.

There is uncertainty associated with the occurre nce of many events in real life. In this paper we develop a temporal logic to deal with such uncertain events and outline a possible implementation in an extension of PROLOG. Events are represented as fuzz y sets with the membership function giving the possibility of occurrence of the event in a given interval of time. The developed temporal logi...

In this study, we proposed a Fuzzy and AHP (Analytic Hierarchy Process)-based negotiation support mechanism (FAHP-NEGO) to support the dynamic negotiation in Electronic Commerce (EC). Most of former researches proposed the negotiation support mechanisms, which were based on quantitative conditions only. In real-world case, however, it was crucial to have qualitative negotiation conditions such ...

This work presents a fuzzy controller capable of designing its own structure online, based on the data obtained during the normal system operation. The algorithm does not use previous information about the differential equations that define the plant’s behaviour. The controller may be initially empty, as the method is able to distinguish the important input variables by assigning them more memb...

The paper presents an automated method for generating fuzzy rules and fuzzy membership functions for pattern classification from training sets of examples. Initially, fuzzy subspaces are created from the partitions formed by the minimum and maximum of individual feature values of each class. The initial membership functions are determined according to the generated fuzzy partitions. The fuzzy s...

The present study considers a fuzzy color system in which triangular pyramid-like membership functions are constructed on the RGB color triangle. This system can process a fuzzy input to an RGB system and output the center of gravity of three weights associated with respective grades. Triangular pyramid-like membership functions are applied to the RGB color triangle relationship. By treating th...

Some aspects of eLearning experience can be enhanced in a very natural way by using the basic tools offered by fuzzy logic. As a matter of example, consider the uncontrolled growth of information produced in a collaborative-oriented context, in which each participant (e.g. students, teachers) is able to insert and share new contents (e.g. comments, texts) concerning a university course. All the...