Reduced Model Investigations Supported by Fuzzy Cognitive Map to Foster Circular Economy

2018 ◽  
pp. 191-202
Author(s):  
Adrienn Buruzs ◽  
Miklós F. Hatwágner ◽  
László T. Kóczy
Keyword(s):  
Circular Economy ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Reduced Model

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

Behavioral simulation and optimization of generation companies in electricity markets by fuzzy cognitive map

2012 ◽  
Vol 39 (5) ◽  
pp. 4635-4646 ◽  
Author(s):  
S.F. Ghaderi ◽  
A. Azadeh ◽  
B. Pourvalikhan Nokhandan ◽  
E. Fathi
Keyword(s):  
Electricity Markets ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Simulation And Optimization ◽  
Behavioral Simulation
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