In this paper, a single-vendor and multiple-buyers’ integrated production inventory model is investigated where demand of the item at buyers’ location considered as interval type-2 fuzzy number (IT2FN). Deterioration rate assumed to change in accordance with weather conditions particular region. It relies upon values certain attributes that have direct influence on extent deterioration. These p...

This work solves the task of developing a fuzzy logic model for evaluating energy efficiency vehicles as part control unit an intelligent transport system. Within scope this study, previously obtained morphological system was modified. A mathematical dependence is proposed to determine vehicle indicator. characterizes consumption in relation under reference operating conditions. Synthesis confi...

We propose a new parameterized method for the defuzzification process based on the simple M-SLIDE transformation. We develop a computationally efficient algorithm for learning the relevant parameter as well as providing a computationally simple scheme for doing the defuzzification step in the fuzzy logic controllers. The M-SLJDE method results in a particularly simple linear form of the algorit...

Traffic congestion is a major concern for many cities throughout the world. In a general traffic light controller, the traffic lights change at a constant cycle time. Hence it does not provide an optimal solution.Many traffic light controllers in current use are based on the “time-of-the-day” scheme, which use a limited number of predetermined traffic light patterns and implement these patterns...

A method for selecting the best service for the storage of information by Mamdani.

A new fast defuzzification method is presented. It is based on estimating the centroid position by fitting the fuzzy output shape into one single triangle. In regard to the computational time, this method is comparable to the “Bisector” method and provides better dynamical behavior. This new method was tested to control a second order plant and a benchmark Continuous Stirred Tank Reactor (CSTR).

 Fuzzy C-Means (FCM) is an unsupervised clustering method that has been used extensively in data analysis and image segmentation. The defuzzification of the fuzzy partition of FCM is usually done using the maximum membership degree principle which may not be appropriate for some real-world applications. In this paper, we present a new algorithm that generates a probabilistic model of the fuzzy...

Abstract Stratification is a feature of the type-reduced set general type-2 fuzzy set, from which new technique for defuzzification, Stratic Defuzzification, may be derived. Existing defuzzification strategies are summarised. The stratified structure described, after Defuzzifier presented and contrasted experimentally accuracy efficiency with both Exhaustive Method Defuzzification (to benchmark...