Concept

Type-2 fuzzy sets and systems

Related publications (32)

Shedding Light on the Basis Set Dependence of the Minnesota Functionals: Differences Between Plane Waves, Slater Functions, and Gaussians

Ursula Röthlisberger, Martin Peter Bircher, Pablo Lopez Tarifa

The Minnesota family of exchange-correlation (xc) functionals are among the most popular, accurate, and abundantly used functionals available to date. However, their use in plane-wave based first-principles MD has been limited by their sparse availability. ...

2019

On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensors

Jean-Louis Scartezzini, Laurent Deschamps, Ali Motamed

Electric lighting is responsible of about one fifth of the electricity demand of buildings in Switzerland. Therein, integrated control of sun shadings and artificial lighting can mitigate the electricity demand while maintaining the user comfort and perfor ...

Elsevier2017

Fuzzy Control System for Autonomous Navigation and Parking of Thymio II Mobile Robots

Francesco Mondada

This paper proposed a fuzzy controller for the autonomous navigation problem of robotic systems in a dynamic and uncertain environment. In particular, we are interested in determining the robot motion to reach the target while ensuring their own safety and ...

2014

Combined Particle Swarm Optimization and Fuzzy Inference System model for estimation of current-induced scour beneath marine pipelines

Roham Bakhtyar

In this paper the capability of PSO is employed to deal with the ANFIS inherent shortcomings to extract optimum fuzzy If-Then rules in noisy area arisen from application of nondimentional variables to estimate scouring depth. In the model, a PSO algorithm ...

IWA Publishing2011

A collaborative demand forecasting process with event-based fuzzy judgements

Philippe Wieser, Naoufel Cheikhrouhou, Omar Ayadi

Mathematical forecasting approaches can lead to reliable demand forecast in some environments by extrapolating regular patterns in time-series. However, unpredictable events that do not appear in historical data can reduce the usefulness of mathematical fo ...

Elsevier2011

Cross-shore sediment transport estimation using fuzzy inference system in the swash zone

Roham Bakhtyar

The interactions between fluid and sediment in the swash zone dominate the erosion or accretion of the beach, and they act as boundary conditions for nearshore hydrodynamic and morphodynamic models. Thus, the evaluation of sediment transport is of particul ...

2011

Realistic modeling of spectator behavior for soccer videogames with CUDA

Eray Molla

Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less att ...

2011

Imitative Learning Based Emotional Controller for Unknown Systems with Unstable Equilibrium

Arash Arami

Purpose – Intelligent control for unidentified systems with unstable equilibriums is not always a proper control strategy, which results in inferior performance in many cases. Because of the existing trial and error manner of the procedure in former durati ...

2010

Leg (AMAL) using bipedal robotics technology

Auke Ijspeert

The objective of the work presented here is to develop a low cost active above knee prosthetic device exploiting bipedal robotics technology which will work utilizing the available biological motor control circuit properly integrated with a Central Pattern ...

2009

Fuzzy Trust Aggregation And Personalized Trust Inference In Virtual Social Networks

Mohsen Lesani

Virtual marketplaces on the Web provide people with great facilities to buy and sell goods similar to conventional markets. In traditional business, reputation is subjectively built for known persons and companies as the deals are made in the course of tim ...

2009

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.