This paper presents a statistical approach for rule-base generation of handwriting recognition. The new proposed method integrates the heuristic feature selection with the statistical evaluation and thus improves the generation speed and the performance of the fuzzy rule-based handwriting recognition system. Fuzzy statistical measures are employed to identify relevant features from a given larg...

Agent-based IoT applications have recently been proposed in several domains, such as health care, smart cities and agriculture. Deploying these applications in specific settings has been very challenging for many reasons including the complex static and dynamic variability of the physical devices such as sensors and actuators, the software application behavior and the environment in which the a...

Multi-agent transportation simulations represent travelers as individual “agents,” who make independent decisions about their actions. We are implementing such a simulation for all of Switzerland, which is composed of modules that model those decisions for each agent, such as: (i) Route planner: Generates routes. (ii) Micro-simulation: Executes routes simultaneously; computes agent interactions...

Sensor nodes are easily compromised to malicious attackers due to an open environment. A false injected attack which takes place on application layer is elected by the compromised node. If the false report arrives in a base station, a false alarm is occurred, and the energy of the nodes is consumed. To detect the false report, statistical en-route filtering method is proposed. In this paper, we...

We have recently proposed a promising trading system for the S&P 500 index, which consists of a feature selection component and a simple filter for data preprocessing, two specialized neural networks for return prediction, and a rule base for prediction integration. The objective of this study is to explore if including additional knowledge for more sophisticated data filtering and return integ...

Several attempts in the field for various games have been made using Genetic Algorithm. Geometry Friends is one of many platform games. This paper shows performance improvement of the platform game by applying GA. We attempt to determine the parameters for rule-based systems in the Geometry Friends game. We perform experiments for the problem not to be solved based on rule-based systems. We div...

In this paper, we present AgentSwitch, a prototype agent-based platform to solve the electricity tariff selection problem. AgentSwitch incorporates novel algorithms to make predictions of hourly energy usage as well as detect (and suggest to the user) deferrable loads that could be shifted to off-peak times to maximise savings. To take advantage of group discounts from energy retailers, we deve...

At the present time a large number of AI methods have been developed in the field of pattern classification. In this paper, we will compare the performance of a well-known algorithm in machine learning (C4.5) with a recently proposed algorithm in the fuzzy set community (NEFCLASS). We will compare the algorithms both on the accuracy attained and on the size of the induced rule base. Additionall...

Datasets with hundreds to tens of thousands features is the new norm. Feature selection constitutes a central problem in machine learning, where the aim is to derive a representative set of features from which to construct a classification (or prediction) model for a specific task. Our experimental study involves microarray gene expression datasets; these are high-dimensional and noisy datasets...

Today supplier selection is a critical and demanding process for the industry, which provides the company with the accurate product/raw material and/or services at the right price at the right time and in the required quantities. Consequently, supplier selection become very important for maintaining planned association. The objective of this paper is to introduce a method of supplier selection ...