Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 65 for “"Fuzzy Inference System"”.
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Covid-19 (Coronavirus) Disease Diagnosis Using Fuzzy Inference System
Intelligent Systems (IS) are called technologically advanced machines. IS includes a variety of techniques that can deal with uncertainty and complex problems. This research study aims to diagnose the coronavirus (COVID-19) diseases symptoms using an Intelligent Systems approach. The COVID-19 …
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Lower respiratory system disease (LRSD) diagnosis using fuzzy inference system
Lower Respiratory System Diseases (LRSD) are one of the most deathcausing diseases in the world. In a large number of cases, people stay unaware of their body reactions and symptoms as they begin with a cold, cough, and fever. These symptoms on later stages lead to cause Chronic Obstructive …
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Adaptive neuro-fuzzy inference system based neural network and parameter constraints
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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A Novel Combined Investment Recommender System Using Adaptive Neuro-Fuzzy Inference System
Investment recommendation systems (IRSs) are critical tools used by potential investors to make informed decisions about investment options. However, existing systems have limitations in terms of accuracy and efficiency, leading to a need for more effective and efficient recommendation systems. …
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Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system
… prediction of household incomes using fuzzy inference system (FIS) from the K-means clustering outputs. Thus, this study focuses on three main objectives which are (a) To apply K-means clustering on household incomes data, (b) To propose the prediction of household incomes …
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… a method that can reduce the search time of a system trying to match a user's iris image against those in a very large database. One method to reduce search time is to predict an individual's ethnicity and then only search iris templates belonging to that particular ethnicity in the database. …
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Image-Based Analysis of Fungal-Damaged Soybeans
… seeds with varying degrees of success. A neuro-fuzzy inference system was developed to classify asymptomatic, Cercospora spp., and Fusarium spp. The classification accuracy for asymptomatic seed was 91.6%, Cercospora spp. 68%, and Fusarium spp. 95%. A multimedia computer-based soybean visual …
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Metal culvert renewal prioritization framework development: A study for Saskatchewan Highways
… regression, artificial neural network, and Fuzzy Inference System, for the prioritization of culverts for renewal. Specifically, the approach presented in this research is developed for metal pipe materials, which are extensively used in culvert installations. Using the condition of 1,000 …
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A SOM+ Diagnostic System for Network Intrusion Detection
… network intrusion detection diagnostic system including complex hybridization of a 3D full color Self-Organizing Map (SOM), Artificial Immune System Danger Theory (AISDT), and a Fuzzy Inference System (FIS). This SOM+ diagnostic archetype includes newly defined intrusion types to …
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Robotic Olfactory-Based Navigation with Mobile Robots
… <p><em>A. Adaptive Bio-inspired Navigation via Fuzzy Inference Systems.</em></p> <p><em></em>In nature, animals use olfaction to perform many life-essential activities, such as homing, foraging, mate-seeking, and evading predators. Inspired by the mate-seeking behaviors of male moths, this …
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An Intelligent System Model for Diagnostic of Human Pancreatic Cancer
… Age, Sex, and Race. This Thesis provides a Fuzzy Logic approach to develop a risk evaluation Intelligent System for Pancreatic Cancer. Fuzzy Logic is a modern approach to deal with uncertainty. Pancreatic Cancer is the most uncertain disease due to its asymptomatic nature and Fuzzy Logic …
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An evolutionary AI-based decision support system for urban regeneration planning
… of an evolutionary AI-based decision support systemto assist planners with the assessment and optimization of regeneration districts. The work develops an Adaptive Network Based Fuzzy Inference System (ANFIS) based module to assess neighbourhood districts for various deprivation factors. …
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Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes
… work described in this thesis incorporates neuro-fuzzy technology for the reliable recognition of EEP signals within the electric field. Neuro-fuzzy networks are neural networks with intrinsic fuzzy logic abilities, i.e. the weights of the neurons in the network define the premise and consequent …
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A Fuzzy/Neural Approach to Cost Prediction with Small Data Sets
… testing facilities using various combinations of fuzzy and neural systems. The data set available for this cost prediction problem consists of variables such as test duration, thrust, and many other similar quantities, unfortunately it is small and incomplete. The first method implemented to …
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A neural fuzzy approach to modeling the thermal behavior of power transformers
… namely ANSI/IEEE standard models, Adaptive Neuro-Fuzzy Inference System (ANFIS), Multilayer Feedforward Neural Network (MFNN) and Elman Recurrent Neural Network (ERNN) to modeling and prediction of the top and bottom-oil temperatures for the 8 MVA Oil Air (OA)-cooled and 27 MVA Forced Air …
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Detecting Student Dropouts Using Fuzzy Inferencing
<p>Fuzzy logic provides a methodology for reasoning using imprecise rules and assertions. Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping then provides a basis from which decisions can be made, or patterns discerned. This …
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A holistic approach to assessment of value of information (VOI) with fuzzy data and decision criteria. [Thesis]
… to crisp values of the data. Thirdly, a fuzzy inference system is developed for making the value of information assessment, capturing the decision-making human logic into the assessment process and integrating several financial parameters into one. The proposed methodology is applied to a …
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Algorithms for multi-modal human movement and behaviour monitoring
… to improve visible light based human tracking systems?” Automated passive tracking of human subjects is an active research area which has been approached in many ways. Typical approaches include the segmentation of the foreground, the location of humans, model initialisation and subject …
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Detecting and Modelling Stress Levels in E-Learning Environment Users
A modern Intelligent Tutoring System (ITS) should be sentient of a learner's cognitive and affective states, as a learner’s performance could be affected by motivational and emotional factors. It is important to design a method that supports low-cost, task-independent and unobtrusive sensing of a …
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Development and Design of Self-Sensing SMAs using Thermoelectric Effect
… then models this behavior using Adaptive Neuro Fuzzy Inference System (ANFIS) and compares it to experimental results. The nonlinear learning and adaptation of ANFIS architecture makes it suitable to model the temperature path hysteresis of SMAs.
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