Πλοήγηση ανά Θέμα "Fuzzy rules"
Αποτελέσματα 1-20 από 30
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Application of Fuzzy Cognitive Maps to water demand prediction
(2015)This article is focused on the issue of learning of Fuzzy Cognitive Maps designed to model and predict time series. The multi-step supervised-learning based-on-gradient methods as well as population-based learning, with ... -
Bagged nonlinear Hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
(2012)Learning of fuzzy cognitive maps (FCMs) is one of the most useful characteristics which have a high impact on modeling and inference capabilities of them. The learning approaches for FCMs are concentrated on learning the ... -
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
(2022)Motivated by the brainstorming process of human beings, a novel learning Fuzzy Cognitive Map (FCM) model named Brainstorming Fuzzy Cognitive Map (BFCM) is proposed. The proposed model is based on a state-of-the-art ... -
Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
(2020)Several energy transition plans attempt to establish low-carbon practices towards a circular bio-economy in order to reduce greenhouse gas emissions. However, most actions only try to assuage the impacts of climate change ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
Constructive Fuzzy Cognitive Map for Depression Severity Estimation
(2022)Depression is a common and serious medical disorder that negatively affects the mood and the emotions of people, especially adolescents. In this paper, a novel framework for automatically creating Fuzzy Cognitive Maps ... -
Decision-making process for photovoltaic solar energy sector development using fuzzy cognitive map technique
(2020)Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming ... -
Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification
(2022)The features of a dataset play an important role in the construction of a machine learning model. Because big datasets often have a large number of features, they may contain features that are less relevant to the machine ... -
Effective Brain Connectivity for fNIRS with Fuzzy Cognitive Maps in Neuroergonomics
(2022)Effective connectivity (EC) among functional near-infrared spectroscopy (fNIRS) signals is a quantitative measure of the strength of influence between brain activity associated with different regions of the brain. Evidently, ... -
Effective problem solving through fuzzy logic knowledge bases aggregation
(2015)Cooperative problem solving has attracted great interest in the research community. A number of nodes can cooperate to reach a common goal which is the solution to a specific problem. Through a team effort, nodes try to ... -
Effective problem solving through fuzzy logic knowledge bases aggregation
(2016)Cooperative problem solving has attracted great interest in the research community. A number of nodes can cooperate to reach a common goal which is the solution to a specific problem. Through a team effort, nodes try to ... -
Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks
(2022)The aim of this paper is to present a novel approach to energy use forecasting. We propose a nested fuzzy cognitive map in which each concept at a higher level can be decomposed into another fuzzy cognitive map, multilayer ... -
Exploring an ensemble of methods that combines fuzzy cognitive maps and neural networks in solving the time series prediction problem of gas consumption in Greece
(2019)This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim ... -
Exploring brazilian photovoltaic solar energy development scenarios using the fuzzy cognitive map wizard tool
(2020)Photovoltaic Solar Energy (PSE) sector has gained great attention during the last decades due to its significant role in the transition to sustainable energy systems. As a viable energy option, PSE has the potential to ... -
From undirected structures to directed graphical lasso fuzzy cognitive maps using ranking-based approaches
(2020)Fuzzy cognitive maps (FCMs) have gained popularity within the scientific community due to their capabilities in modelling and decision making for complex problems. However, learning FCM models automatically from data without ... -
Fuzzy cognitive map-based modeling of social acceptance to overcome uncertainties in establishing waste biorefinery facilities
(2018)Sustainable Waste Biorefinery Facilities (WBFs) represent multifactorial systems that necessitate the organization, cooperation and the acceptance of different social stakeholders. However, these attempts have become targets ... -
Fuzzy cognitive maps and multi-step gradient methods for prediction: Applications to electricity consumption and stock exchange returns
(2015)The paper focuses on the application of fuzzy cognitive map (FCM) with multi-step learning algorithms based on gradient method and Markov model of gradient for prediction tasks. Two datasets were selected for the implementation ... -
Fuzzy Cognitive Maps for Interpretable Image-based Classification
(2022)Image classification is a fundamental component of intelligent vision systems. Developing classifiers capable of explaining how or why a classification result occurs, in a way compatible with human perception, remains a ... -
A fuzzy inference system to model grape quality in vineyards
(2014)Fuzzy inference systems (FIS) are particularly suited for aggregating multiple data to feed multi-variables decision support systems. Moreover, grape quality is a complex concept that refers to the simultaneous achievement ... -
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
(2016)In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). ...