This contribution provides an overview of practical applications of similarity-based fuzzy orderings. These applications include flexible database querying, robust statistics, natural language semantics, and fuzzy rulebased machine learning.

Two experiments explore the effects of mood on category learning. In the first experiment subjects were put into either a negative or a neutral mood before completing one of two category-learning tasks. Negative mood briefly impaired rulebased category learning but this impairment did not persist throughout the task. Negative mood did not influence nonrule-based learning. In a second study subj...

We present ERIC, an affective embodied agent for realtime commentary in many domains. The underlying architecture is rulebased, generic, and lightweight – based on Java/Jess modules. Apart from reasoning about dynamically changing events, the system can produce coherent natural language and non-verbal behaviour, based on a layered model of affect (personality, mood, emotion). We show how reason...

Due to the implicit characteristics of learning disabilities (LDs), the diagnosis of students with learning disabilities has long been a difficult issue. Artificial intelligence techniques like artificial neural network (ANN) and support vector machine (SVM) have been applied to the LD diagnosis problem with satisfactory outcomes. However, special education teachers or professionals tend to be ...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here.  The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...

With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is automated identification of suspicious movements. Due to the sheer volume of data associated with moving objects, it is challenging to develop a method that can efficiently and effectively detect anomalies. The problem is...

Social media provides a platform where users share an abundance of information on anything and everything. The information may consist of users’ emotions, feedbacks, reviews, and personal experiences. In this research a novel Ontology-based Sentiment Analysis Process for Social Media content (OSAPS) with negative sentiments is presented. The social media content is automatically extracted from ...

text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...

this paper aims to investigate the presence of quantifier phrase and classifier phrase in the dp of sarhadi dialect of the baluchi language. to reach this goal, pseudo partitive constructions and their characteristics in different languages are introduced and then it is shown that determiner phrases containing a classifier in baluchi are examples of juxtaposed pseudo partitive constructions in ...