scholarly journals Constraint reformulations for set point optimization problems using fuzzy cognitive map models

2021 ◽  
Author(s):  
Alvaro Garzón Casado ◽  
Pablo Cano Marchal ◽  
Christian Wagner ◽  
Juan Gómez Ortega ◽  
Javier Gámez García
Keyword(s):  
Optimization Problems ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Set Point

scholarly journals Designing Intelligent MIMO Nonlinear Controller Based on Fuzzy Cognitive Map Method for Energy Reduction of the Buildings

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2713 ◽  
Author(s):  
Farinaz Behrooz ◽  
Rubiyah Yusof ◽  
Norman Mariun ◽  
Uswah Khairuddin ◽  
Zool Hilmi Ismail
Keyword(s):  
Stability Analysis ◽  
Disturbance Rejection ◽  
Air Conditioning ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Nonlinear Controller ◽  
Set Point ◽  
Good Ability ◽  
And Performance ◽  
The Stability

Designing a suitable controller for air-conditioning systems to reduce energy consumption and simultaneously meet the requirements of the system is very challenging. Important factors such as stability and performance of the designed controllers should be investigated to ensure the effectiveness of these controllers. In this article, the stability and performance of the fuzzy cognitive map (FCM) controller are investigated. The FCM method is used to control the direct expansion air conditioning system (DX A/C). The FCM controller has the ability to do online learning, and can achieve fast convergence thanks to its simple mathematical computation. The stability analysis of the controller was conducted using both fuzzy bidirectional associative memories (FBAMs) and the Lyapunov function. The performances of the controller were tested based on its ability for reference tracking and disturbance rejection. On the basis of the stability analysis using FBAMS and Lyapunov functions, the system is globally stable. The controller is able to track the set point faithfully, maintaining the temperature and humidity at the desired value. In order to simulate the disturbances, heat and moisture load changed to measure the ability of the controller to reject the disturbance. The results showed that the proposed controller can track the set point and has a good ability for disturbance rejection, making it an effective controller to be employed in the DX A/C system and suitable for a nonlinear robust control system.

CIRCULAR ECONOMY STRATEGIES FOR ELECTRIC AND ELECTRONIC EQUIPMENT: A FUZZY COGNITIVE MAP

2017 ◽  
Vol 16 (8) ◽  
pp. 1807-1817 ◽  
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Giorgio Mossa ◽  
Giovanni Mummolo ◽  
Rossella Verriello
Keyword(s):  
Circular Economy ◽  
Cognitive Map ◽  
Electronic Equipment ◽  
Fuzzy Cognitive Map

A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment

2013 ◽  
Author(s):  
Elpiniki I. Papageorgiou ◽  
Antonis S. Billis ◽  
Christos Frantzidis ◽  
Evdokimos I. Konstantinidis ◽  
Panagiotis D. Bamidis
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Geriatric Depression ◽  
Support Tool ◽  
Depression Assessment

The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map

2021 ◽  
Vol 25 (4) ◽  
pp. 949-972
Author(s):  
Nannan Zhang ◽  
Xixi Yao ◽  
Chao Luo
Keyword(s):  
Fuzzy Set ◽  
Sequence Data ◽  
Concept Drift ◽  
Intuitionistic Fuzzy Set ◽  
Cognitive Map ◽  
Fuzzy Cognitive Maps ◽  
Fuzzy Cognitive Map ◽  
Online Data ◽  
Intuitionistic Fuzzy ◽  
Public Data

Fuzzy cognitive maps (FCMs) have widely been applied for knowledge representation and reasoning. However, in real life, reasoning is always accompanied with hesitation, which is deriving from the uncertainty and fuzziness. Especially, when processing the online data, since the internal and external interference, the distribution and characteristics of sequence data would be considerably changed along with the passage of time, which further increase the difficulty of modeling. In this article, based on intuitionistic fuzzy set theory, a new dynamic intuitionistic fuzzy cognitive map (DIFCM) scheme is proposed for online data prediction. Combined with a novel detection algorithm of concept drift, the structure of DIFCM can be adaptively updated with the online learning scheme, which can effectively improve the representation of online information by capturing the real-time changes of sequence data. Moreover, in order to tackle with the possible hesitancy in the process of modeling, intuitionistic fuzzy set is applied in the construction of dynamic FCM, where hesitation degree as a quantitative index explicitly expresses the hesitancy. Finally, a series of experiments using public data sets verify the effectiveness of the proposed method.

Yield prediction in apples using Fuzzy Cognitive Map learning approach

2013 ◽  
Vol 91 ◽  
pp. 19-29 ◽  
Author(s):  
E.I. Papageorgiou ◽  
K.D. Aggelopoulou ◽  
T.A. Gemtos ◽  
G.D. Nanos
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Learning Approach ◽  
Yield Prediction ◽  
Map Learning

Modeling the factors affecting unsafe behaviors using the fuzzy best-worst method and fuzzy cognitive map

2021 ◽  
pp. 108119
Author(s):  
Mahdi Malakoutikhah ◽  
Moslem Alimohammadlou ◽  
Mehdi Jahangiri ◽  
Hadiseh Rabiei ◽  
Seyed Aliakbar Faghihi ◽  
...  
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Factors Affecting ◽  
Unsafe Behaviors ◽  
Best Worst Method
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