Multi-label classification has attracted much attention in the machine learning community to address problem of assigning single samples more than one class at same time. We propose an evolving multi-label fuzzy classifier (EFC-ML-FWU) which is able self-adapt and self-evolve its structure consequent parameters form multiple hyper-planes with new incoming incremental, single-pass manner especia...

Petr Hájek is a renowned Czech logician, whose record in mathematical logic spans half a century. His results leave a permanent imprint in all of his research areas, which can be roughly delimited as set theory, arithmetic, fuzzy logic and reasoning under uncertainty, and information retrieval; some of his results have enjoyed successful applications. He has, throughout his career, worked at th...

Social Robot Lumen is an Artificial Intelligence development project that aims to create an Artificial Intelligence (AI) which allows a humanoid robot to communicate with human being naturally. In this study, Lumen will be developed to be a tour guide in Electrical Engineering Days 2015 exhibition. In developing an AI, there are a lot of modules that need to be developed separately. To make the...

Unmanned, underwater vehicles have been developed considerably in recent years. Remotely operated vehicles (ROVs) are increasingly used for routine inspection and maintenance tasks but have a range that is limited by the umbilical cable. For long range operations, such as oceanographic exploration and surveying, autonomous underwater vehicles (AUVs) are emerging which have on-board power and ar...

The capacity of CDMA (Code Division Multiple Access) systems is interference limited. Therefore radio resources management (RRM) functions are used. They are responsible for supplying optimum coverage, ensuring efficient use of physical resources, and providing the maximum planned capacity. This paper deals with admission control techniques for UMTS (Universal Mobile Telecommunication System). ...

We present a novel approach to representing uncertain information in ontologies based on design patterns. We provide a brief description of our approach, present its use in case of fuzzy information and probabilistic information, and describe the possibility to model multiple types of uncertainty in a single ontology. We also shortly present an appropriate fuzzy reasoning tool and define a comp...

Because of the pressure of globalization in the last two decades, professional services has become an important strategic decision so that supplier selection is a prime concern. In the semiconductor industry, the prior researches worked on analyzing and improving the process, and evaluating the equipment manufacturers. Therefore, being the semiconductor industry applying a wide huge of advanced...

As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. In this paper, for the first time we formalize and solve the problem ...