A two-stage system proposal based on a type-2 fuzzy logic system for ergonomic control of classrooms and offices-Reference-Cited by-同舟云学术

A two-stage system proposal based on a type-2 fuzzy logic system for ergonomic control of classrooms and offices

Published:2023-04 Issue: Volume:120 Page:105854
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Erozan İhsan^ORCID,Özel Emre^ORCID,Erozan Damlanur

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference86 articles.

1. Fuzzy logic controller deployed for indoor air quality control in naturally ventilated environments;Abdel;J. Electr. Eng.,2009

2. Decomposed interval Type-2 fuzzy systems with application to inverted pendulum;Abuelenin,2014

3. Fuzzy logic controller design for intelligent air-conditioning system;Ahamed;2016 2nd International Conference on Control Science and Systems Engineering,2016

4. Bulanık mantık yardımıyla doğal havalandırma yapılan bir serada sıcaklık ve bağıl nem kontrolünün modellenmesi;Akgül;Tarım Makinaları Bilimi Dergisi,2006

5. Fuzzy logic-based improved ventilation system for the pharmaceutical industry;Altwijri;Int. J. Eng. Technol.,2018

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