OWL ontologies are nowadays a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given an ontology target T, we address the problem learning fuzzy concept inclusion axioms that sufficient conditions for being individual instance T (and which degree). To do so, present Fuzzy OWL-Boost relies on Real AdaBoost boostin...

In this paper, a control method for inverter air conditioner is presented, which is to use evaporating pressure as middle-target via fuzzy method. It is a method to control in cascade stage. Simulation results of performance of the control method, comparing with a traditional fuzzy method, were obtained.

In this work, three topics which are important for the further development of fuzzy systems are chosen to be investigated. First, the mathematical aspects of fuzzy relational equations (FREs) are explored. Solving FREs is one of the most important problems in fuzzy systems. In order to identify the algebraic information of the fuzzy space, two new tools, called fuzzy multiplicative inversion an...

A fuzzy rule base is proposed to navigate multi-agents from initial positions to target positions in unknown environments. The proposed fuzzy rule base determines the highest priority of nine possible heading directions. The fuzzy rule base has been developed employing genetic algorithms as an approach to dynamic path planning of autonomous multi-agents in unknown environments. Paths which sati...

Particle swarm optimization (PSO) is a well-known instance of swarm intelligence algorithms and there have been many researches on PSO. In this paper, the author proposes an extension of PSO for solving fuzzy-valued optimization problems. In the proposed extension, genotype values (i.e. values in particle position vectors) are not real numbers but fuzzy numbers. Search processes in PSO are exte...

This study focuses on the reentry target classification and fuses features based generalized evidence theory. The are extensively investigated, ballistic factor length of high-resolution range profile selected. theory is advantageous for solving feature fusion, representing uncertainty, widely used in defense applications. However, determining basic probability assignment (GBPA) dealing with un...

In this paper, we intend to offer a new method based on fuzzy neural networks for finding a real solution of fuzzy equations system. Our proposed fuzzified neural network is a fivelayer feed-back neural network that corresponding connection weights to output layer are fuzzy numbers. The proposed architecture of artificial neural network, can get a real input vector and calculates it’s correspon...

High-altitude UAV photography presents several challenges, including blurry images, low image resolution, and small targets, which can cause detection performance of existing object algorithms. Therefore, this study proposes an improved small-object algorithm based on the YOLOv5s computer vision model. First, original convolution in network framework was replaced with SPD-Convolution module to ...