This paper introduces two methods of developing fuzzy rules, using decision trees, from data with continuous valued inputs and outputs. A key problem is how to deal with continuous outputs. Here output classes are created. A crisp decision tree may then be created using a set of fuzzy output classes allowing each training example to partially belong to the classes. Alternatively, a discrete set...

An extraction of medical knowledge from cardiological data is proposed in this work, it is based on relevant intelligent method called fuzzy decision tree. It could lead to increase understanding the cause of various abnormal beats in cardiac activity, leading to a better medical diagnosis. The performance of this technique is evaluated on the MIT-BIH Arrhythmia Database following the AAMI reco...

A fuzzy logic resource manager that enables a collection of unmanned aerial vehicles (UAVs) to automatically cooperate to make meteorological measurements will be discussed. Once in flight no human intervention is required. Planning and real-time control algorithms determine the optimal trajectory and points each UAV will sample, while taking into account the UAVs’ risk, risk tolerance, reliabi...

The planning and managing of bus networks as a urban public transport system is a relevant problem. Several proposals focus the planning of new bus networks. In this paper, we focus the speci c task of reallocating buses from di erent lines of a previously planned bus network in case of restrictions, such as vehicle breakdowns and drivers absences. Our proposal uses a fuzzy decision tree, which...

Fuzzy logic is one of the powerful tools for reasoning under uncertainty and since uncertainty is an intrinsic characteristic of intrusion analysis, Fuzzy logic is therefore an appropriate tool to use to analyze intrusions in a Network. This paper presents a fuzzy logic based network intrusion detection system to predict neptune which is a type of a Transmission Control Protocol Synchronized (T...

In the realm of computer security, biometrics refers to authentication technique that relies on the measurement of physiological and individual characteristics that can be automatically verified. In our proposed biometric system is a combo of modeling and quantification of different human cognitive factors and fuzzy decision tree. In our novel biometric system we use visual search and short ter...

Here in this paper the discovery of Vulnerabilities in the Source Codes is proposed. The Proposed Methodology applied is based on the Concept of Fuzzy Based Decision Tree. The Methodology adopted here for the Checking of Codes Vulnerabilities provides efficient discovery of Vulnerabilities and hence provides improved performance and high precision and Recall. The Proposed Methodology Audits the...

35 ABSTRACT This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique and fuzzy decision tree. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the K-means algori...

Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigat...

Biometrics refers to technologies that measure and analyzes human body behavioral characteristics such as fingerprints, palmprint, knuckles, hand geometry hand vein, retinas, irises and physiological characteristics such as gait, signature, key stroke etc. for authentication purposes. The palmprint is emerging biometric with the advantages of large Region of Interest (ROI) and chances of damage...