This paper presents a method for the multiple autonomous vehicles mission flight planning in changing weather conditions. We model UAVs fleet servicing spatially-dispersed customers terms of declarative modelling framework. The considered problem boils down to predictive and reactive delivery missions within specified timeframe. Due need implement an emergency return UAV its base, or handle var...

A novel scheme for developing, at low computational cost, neural-fuzzy classifiers based on large-scale, model-based exemplars is outlined. The new method extends the approach that Bezdek applied to train a neural net (NN) Sobel edge classifier by training the NN on the complete population of 3x3 binary image prototypes scored to fuzzy values by a classical operator. We first show that, replaci...

In this paper, we propose a prototype of a decision support system (DSS) that integrates a hybrid neighborhood search algorithm to solve the offline and online routing problems arising in courier service. In the dynamic operational environment of courier service, new customer orders and order cancellations continually arrive over time and thus disrupt the optimal routing schedule that was origi...

Bousi∼Prolog is a fuzzy logic programming language which is an extension of the standard Prolog language. The Bousi∼Prolog operational semantics is an adaptation of the SLD resolution principle, where classical unification has been replaced by a fuzzy unification algorithm based on proximity relations. Unicorn is a programming environment for the Bousi∼Prolog language. This environment will pro...

This paper presents a simple, but computationally efficient approach for fingerprint recognition. In this proposed approach fingerprint image is divided into windows of size 3  3 to extract the fuzzy features. The information at the center of the window is the product of information extracted using Local Binary Pattern (LBP) and fuzzy membership function. Maximization of mutual information bet...

This paper presents an improved method for image thresholding by optimization of fuzzy compactness which was originally introduced by Pal and Rosenfeld 3]. In our method a set of asymmetric S-functions whose windows are located in the same range are used as membership functions for obtaining fuzzy compact-ness. This avoids the problem which may occur in the original algorithm by unsuitably choo...