Individual vehicle information, especially, vehicle classification data play a key role in Advanced Traffic Management and Information Systems (ATMIS). In inductive loop and piezo-sensor fusion systems, traffic data such as the vehicle length and the distance between axles are used for vehicle classification. However, classification errors often occur in distinguishing passenger cars from small...

⎯In this paper we propose a methodology for the solution of multiobjective programming problem with fuzzy relational equations (FRE’s) as constraints. In the first part of the proposed methodology, we find the feasible solution set of FRE’s and give an algorithm to compute minimal solutions and maximal solutions of objective functions which can also be computed by constructed computer program a...

This article presents many different areas of practical applications multivariate cluster analysis under conditions fuzzy initial data that are described in the literature. New algorithms and formula expressions proposed for combining various multi-dimensional objects, parameters which given by fuzzy-sets, into clusters along with calculating coordinates centroids their membership functions. Va...

An approach to distance sensor data integration that obtains a robust interpretation of the robot environment is presented in this paper. This approach consists in obtaining patterns of fuzzy distance zones from sensor readings; comparing these patterns in order to detect non-working sensors; and integrating the patterns obtained by each kind of sensor in order to obtain a final pattern that de...

Comparing probability distributions is an indispensable and ubiquitous task in machine learning statistics. The most common way to compare a pair of Borel measures compute metric between them, by far the widely used notions are Wasserstein total variation metric. next divergence this case almost every known divergences such as those Kullback–Leibler, Jensen–Shannon, Rényi, many more, special ca...

Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides dataset into pure subsets based on impurity measurements such as entropy Gini. Then relatively “pure” partitions consisting of observations with the (almost) same class are obtained. Gini index one representative indices measuring data. However, does not take...

considering the increasing interest in fuzzy theory and possible applications,the concept of fuzzy metric space concept has been introduced by severalauthors from different perspectives. this paper interprets the theory in termsof metrics evaluated on fuzzy numbers and defines a strong hausdorff topology.we study interrelationships between this theory and other fuzzy theories suchas intuitionis...