Rough set theory is an important approach to granular computing. Type-1 fuzzy set theory permits the gradual assessment of the memberships of elements in a set. Hybridization of these assessments results in a fuzzy rough set theory. Type-2 fuzzy sets possess many advantages over type-1 fuzzy sets because their membership functions are themselves fuzzy, which makes it possible to model and minim...

in this study, the roll, yaw and depth fuzzy control of an au- tonomous underwater vehicle (auv) are addressed. yaw and roll angles are regulated only using their errors and rates, but due to the complexity of depth dynamic channel, additional pitch rate quantity is used to improve the depth loop performance. the discussed auv has four aps at the rear of the vehicle as actuators. two rule bases...

There are a growing number of aerospace applications demonstrating the effectiveness of emulating human decision making using fuzzy logic. In this effort, a previously created MATLAB simulation of the classic arcade game PONG is utilized in which a fuzzy logic system that uses real-time fuzzy reasoning and awareness to represent a two-player team is able to play against various opponents. The o...

Congestion control of real-time streaming a video clip or film across the Internet is vital, as network traffic volatility requires constant adjustment of the bit rate in order to reduce packet loss. Traditional solutions to congestion control are prone to delivery rate fluctuations and may respond only when packet loss has already occurred, while both fluctuations and packet loss seriously aff...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...

In thispaper a reviewof type-2 fuzzy logic applications inpattern recognition, classificationandclustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a wide range of applications due to its ability tohandle higher degrees of uncertainty. In particular, therehavebeen recent applications of type-2 fuzzy logic in the fields of pattern recognition, classification a...