Listar por tema "Fuzzy rules"
Mostrando ítems 21-30 de 30
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IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps
(2022)The detection of abnormalities in the gastrointestinal (GI) tract, including precancerous lesions, is substantially subject to expert knowledge and experience. To address the challenge of automated lesion risk assessment, ... -
Implementing fuzzy cognitive maps with neural networks for natural gas prediction
(2018)The goal of this research study is to test the hardiness of a novel hybrid computational intelligence model in day-ahead natural gas demand prediction. The proposed model combines an evolutionary learned FCM method with a ... -
Introducing Fuzzy Cognitive Maps for decision making in precision agriculture
(2007)A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ... -
Management of uncomplicated urinary tract infections using fuzzy cognitive maps
(2009)Urinary Tract Infection (UTI) is a bacterial infection that affects any part of the urinary tract. It can be classified as uncomplicated (patients with urinary tracts that are normal from both structural and functional ... -
Multi-robot exploration using dynamic fuzzy cognitive maps and ant colony optimization
(2020)An application field of Multi-Robot Systems (MRS) is within victim rescue operations. The main challenge faced by disaster rescue teams is response time. The chances of finding survivors decrease significantly over time ... -
A Novel Fuzzy Inference Approach: Neuro-fuzzy Cognitive Map
(2020)In this study, a new approach based on fuzzy cognitive map (FCM) and neuro-fuzzy inference system (NFIS), called the neuro-fuzzy cognitive map (NFCM), is proposed. Here, the NFCM is used for diagnosis of autoimmune hepatitis ... -
A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty
(2018)In this paper, an active Hebbian learning (AHL) for intuitionistic fuzzy cognitive map (iFCM) is proposed for grading the celiac. This method performs the diagnosis procedure automatically, and it is more suitable for ... -
Retrieving sparser fuzzy cognitive maps directly from categorical ordinal dataset using the graphical lasso models and the MAX-threshold algorithm
(2020)Learning FCM models from data without any a priori knowledge and expert intervention remains a considerable problem. This research study utilizes a fully data-based learning method (the glassoFCM) for automatic design of ... -
Soft computing approaches for urban water demand forecasting
(2016)This paper presents an integrated framework for water resources management at urban level which consists of a Neuro-Fuzzy and Fuzzy Cognitive Map-based, (FCM) decision support system (DSS) based on multiple objectives and ... -
Triangular Neutrosophic Cognitive Map for Multistage Sequential Decision-Making Problems
(2021)Nowadays, fuzzy cognitive maps (FCMs) are one of the most efficient artificial intelligence techniques for modeling large and complex systems. However, traditional FCMs have the limitation of not representing the indeterminacy ...