This paper presents an agent-based sealed-bid design for multi-issue negotiation in an incomplete information setting. The information of both agents is considered completely private. In our agent-based model, each agent builds a multi-dimensional fuzzy satisfaction set for the attributes of a commodity using fuzzy linguistic terms. The issues relating to an offer are divided into two categorie...

A special fuzzy modeling method for developing multi-variable fuzzy models on the basis of measured input and output data is presented. Representing the crucial point in fuzzy modeling, the fuzzy model identiication procedure is carried out by applying a special clustering method, the fuzzy c-elliptotypes method, providing the parameters of the fuzzy model. To enhance the eeciency of the fuzzy ...

The analysis of the perceptual properties of texture plays a fundamental role in tasks like semantic description of images or content-based image retrieval using linguistic queries. In this paper, we propose to model these properties by means of fuzzy sets defined on the domain of some representative measures. In our approach, the membership functions associated to these fuzzy sets are obtained...

Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membership functions. These linguistic variables should be optimized at the level of single rules or sets of rules. Assuming the Gaussian uncertainty of input values allows to increase the accuracy of predictions and to estima...

The evaluation of critical transition loads in a wear system of metal matrix composites (MMCs) was attempted with the aid of the wear knowledge established using fuzzy rule based modelling. The model presumes that the membership function of the inputs and the rule base are proper. The membership function of the output is adjusted to minimise the error between the predicted output and the experi...

A Takagi-Sugeno-Kang-type fuzzy model to assist with real estate appraisals was developed and optimized using evolutionary algorithms Three approaches were compared in the paper. The first one consisted in learning the rule base, the second one in tuning the membership functions having the rule base optimized and the third one in combining both methods in one process. Six fuzzy models comprisin...