Fuzzy control is based on fuzzy logic, which provides a most efficient way to handle inexact information as a basis of reasoning. With fuzzy logic it is possible to convert knowledge, which is expressed in an uncertain form, to an exact and precise output for uncertain systems. In fuzzy control, the controller can be simply represented by if-then-else rules. The interpretation of the controller...

This paper presents the design and implementation of a real-time fuzzy-based artificial intelligence system for an interactive game. The chosen game is a remake of Pac-Man in which the opponents are BDI-style intelligent agents. The components of the system and the methods used in fuzzifying the game’s rules and variables are discussed. In addition, comparisons are drawn between the proposed fu...

This paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the origindestination matrices. However, this method is limited to urban areas and rarely to explicit stations. Otherwise, the gravity models based on friction functions can be another alternative...

The last decade has seen considerable growth in interest in Artificial Intelligence and Machine Learning. In the broadest sense, these fields aim to ‘learn something useful’ about the environment within which the organism operates. How gathered information is processed leads to the development of algorithms, how to process high dimensional data and deal with uncertainty. In the early stages of ...

BACKGROUND Reliable methods are crucial to cope with uncertainties in the risk analysis process. The aim of this study is to develop an integrated approach to assessing risks of benzene in the petrochemical plant that produces benzene. We offer an integrated system to contribute imprecise variables into the health risk calculation. METHODS The project was conducted in Asaluyeh, southern Iran ...

Workplace exposure to coherent and incoherent optical radiation from artificial sources is regulated under the Artificial Optical Radiation Directive (AORD) 2006/25/EC, now implemented in the UK under the Control of Artificial Optical Radiation at Work Regulations (AOR) 2010. These regulations set out exposure limit values. Implementing the AOR (2010 Health and Safety Statutory Instrument No 11...

This paper presents the results obtained for maximum power point tracking (MPPT) technique applied to a photovoltaic (PV) system, composed of five solar panels in series using two different methodologies. First, we considered traditional Perturb and Observe (P&O) algorithm second stage Fuzzy Logic Controller (FLC) that uses fuzzy logic concepts improve P&O; both were implemented boost c...

Solar energy has gained attention in the past two decades, since it is an effective renewable source that causes no harm to environment. Irradiation Prediction (SIP) essential plan, schedule, and manage photovoltaic power plants grid-based generation systems. Numerous models have been proposed for SIP literature while such studies demand huge volumes of weather data about target location a leng...