iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimisation

IEEE Transactions on Fuzzy Systems - United States
doi 10.1109/tfuzz.2018.2862394
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Adaptive Speed Control System Based on Interval Type-2 Fuzzy Logic

Transactions on Machine Learning and Artificial Intelligence
2014English

Adaptive Type-2 Fuzzy Logic Control of a Bioreactor

Chemical Engineering Science
Applied MathematicsChemistryChemical EngineeringManufacturing EngineeringIndustrial
2010English

Interval Type-2 Intuitionistic Fuzzy Logic System for Time Series and Identification Problems - A Comparative Study

International Journal of Fuzzy Logic Systems
2020English

Optimisation of Traffic Light Control System Using Fuzzy Logic and Set Theory

International Journal of Research in Engineering and Technology
2017English

Production Forecasting of Coalbed Methane Wells Based on Type-2 Fuzzy Logic System

Open Petroleum Engineering Journal
Energy
2016English

Type 1 Versus Type 2 Fuzzy Logic Speed Controllers for Brushless Dc Motors

International Journal of Electrical and Computer Engineering
Electronic EngineeringElectricalComputer Science
2020English

Landing on the Moon With Type-2 Fuzzy Logic

2017English

A Hybrid Multi-Objective Extremal Optimisation Approach for Multi-Objective Combinatorial Optimisation Problems

2010English

VHDL‐AMS Based Genetic Optimisation of Fuzzy Logic Controllers

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Electronic EngineeringApplied MathematicsComputer Science ApplicationsElectricalComputational TheoryMathematics
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy