Pages: 1 - 18
SOME MEASURES RELATING PARTITIONS USEFUL FOR COMPUTATIONAL INTELLIGENCE
We investigate a number of measures relating partitions. One class of measures we consider are congru-
ence measures. These measures are used to calculate the similarity between two partitionings. We provide
a number of examples...
Pages: 50 - 59
Situation awareness (SA) is an important element to support responses and decision making to crisis
problems. Decision making for a complex situation often needs a team to work cooperatively to get
consensus awareness for the situation. Team SA is characterized including information sharing, opinion...
Pages: 94 - 102
CURRENT COMPUTATIONAL TRENDS IN EQUIPMENT PROGNOSTICS
The article overviews current trends in research studies related to reliability prediction and prognostics.
The trends are organized into three major types of prognostic models: failure data models, stressor models,
and degradation models. Methods...
Pages: 24 - 49
Assessment of strategic R&D projects is in essence a multiple-attribute decision analysis (MADA) prob-
lem. In such problems, qualitative information with subjective judgments of ambiguity is often provided
by people together with quantitative data that may be imprecise or incomplete. A few approaches...
Pages: 77 - 93
The smart house under consideration is a service-integrated complex system to assist older persons and/or
people with disabilities. The primary goal of the system is to achieve independent living by various
robotic devices and systems. Such a system is treated as a human-in-the loop system in which...
Pages: 60 - 76
The applicability in practice of a diagnostic tool is strongly related to the physical transparency of the un-
derlying models, for the interpretation of the relationships between the involved variables and for direct
model inspection and validation. In this work, a methodology is developed for transforming...
Pages: 19 - 23
WORD SIMILARITY FROM DICTIONARIES: INFERRING FUZZY MEASURES FROM FUZZY GRAPHS
The computation of similarities between words is a basic element of information retrieval systems, when
retrieval is not solely based on word matching. In this work we consider a measure between words based
Pages: 188 - 201
Probability density estimation (PDF) is a task of primary importance in many contexts, including Bayesian learning
and novelty detection. Despite the wide variety of methods at disposal to estimate PDF, only a few of them are
widely used in practice by data analysts. Among the most used methods...
Pages: 116 - 126
In a multilingual country like India, a document may contain text words in more than one language. For a
multilingual environment, multi lingual Optical Character Recognition (OCR) system is needed to read the
multilingual documents. So, it is necessary to identify different language regions of...
Pages: 148 - 158
Evaluation is a process that analyzes elements in order to achieve different objectives such as quality
inspection, marketing and other fields in industrial companies. This paper focuses on sensory evaluation
where the evaluated items are assessed by a panel of experts according to the knowledge...
Pages: 134 - 147
This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the makespan value.
In recent years, much attention is given to heuristic and search techniques. Genetic algorithms (GAs) are
also known as efficient heuristic and search techniques. This paper proposes an efficient genetic...
Pages: 127 - 133
Feature subset selection, applied as a pre-
processing step to machine learning, is valuable in
dimensionality reduction, eliminating irrelevant data and
improving classifier performance. In the classic formulation of
the feature selection problem, it is assumed that all the
features are available...
Pages: 177 - 187
In this paper, we shall firstly illustrate why we should introduce set-valued stochastic integrals, and then
we shall discuss some properties of set-valued stochastic processes and the relation between a set-valued
stochastic process and its selection set. After recalling the Aumann type definition...
Pages: 168 - 176
Artificial Immune Systems (AIS), which is inspired
by the nature immune system, has been applied for solving
complex computational problems in classification, pattern rec-
ognition, and optimization. In this paper, the theory of the
natural immune system is first briefly introduced. Next, we...
Pages: 103 - 115
In this paper we present a new vector ordering â‰¤RGB for colours modelled in the RedGreenBlue colour
model. The RedGreenBlue colour model becomes with this new ordering and associated minimum
and maximum operators a complete lattice. We also have defined a complement co for colours in the
Pages: 159 - 167
This paper provides a literature review in clinical decision support systems (CDSSs) with a
focus on the way knowledge bases are constructed, and how inference mechanisms and group
decision making methods are used in CDSSs. Particular attention is paid to the uncertainty
handling capability of...
Pages: 225 - 236
Recommender systems are applications that have emerged in the e-commerce area in order to assist users
in their searches in electronic shops. These shops usually offer a wide range of items that cover the
necessities of a great variety of users. Nevertheless, searching in such a wide range of items...
Pages: 274 - 284
In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative
information. Consequently, decision making problems may include preference information in different formats....
Pages: 215 - 224
The paper proposes the use of attack pattern ontology and formal framework for network traffic anomalies detection within a distributed multi-agent Intrusion Detection System architecture. Our framework assumes ontology-based attack definition and distributed processing scheme with exchange of communicates...
Pages: 248 - 261
A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into account and is based on parametric functions. It...
Pages: 262 - 272
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification...
Pages: 237 - 247
We present a framework for decision-making in relation to disaster management with a focus on situation assessment during disaster management monitoring. The use of causality reasoning based on the temporal evolution of a scenario provides a natural way to chain meaningful events and possible states...
Pages: 205 - 214
Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leaderâ€™s decision...
Pages: 299 - 303
Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance...
Pages: 285 - 298
This paper describes a method for finding a fuzzy membership matrix in case of numerical and categorical features.
The set of feature vectors with mixed features is mapped to a set of feature vectors with only real valued
components with the condition that the new set of vectors has the same proximity...
Pages: 353 - 360
This paper presents a practical collision-free motion planning method for general underactuated robot manipulators. First the dynamic properties of underactuated robot manipulator are analyzed, and then the collision avoidance problem is formulated and solved as a position-based force control problem....
Pages: 379 - 389
In a wireless network environment accurate and timely estimation or prediction of network traffic has gained much
importance in the recent past. The network applications use traffic prediction results to maintain its performance by
adopting its behaviors. Network Service provider will use the prediction...
Pages: 361 - 378
The health system in developed countries is facing a problem of scalability in order to accommodate the
increased proportion of the elderly population. Scarce resources cannot be sustained unless innovative
technology is considered to provide health care in a more effective way. The Smart Home provides...
Pages: 340 - 352
procedures for the calculation of point-defect migration energies in Atomistic Kinetic Monte Carlo (AKMC)
simulations, as functions of the Local Atomic Configuration (LAC). Two approaches are considered: the Cluster
Expansion (CE) and the Artificial Neural Network (ANN). The first is found to be unpromising...
Pages: 304 - 312
Computing object distance using image processing is an important research area in the field of computer vision and
robot navigation applications. In this paper we have proposed a new method to compute the distance of an object
using a single image. According to our observation there exists a relationship...
Pages: 329 - 339
In this paper, a computer aided system for designing nonwoven materials is presented. As an original approach in
the field of nonwoven research, both quality measurement analysis and human knowledge processing are integrated
in the system. It allows designers to optimize the structure of nonwoven materials...
Pages: 313 - 328
In this paper, a survey for Data Mining frame work has been done for proposing Data Mining methodologies to
engineering materials design applications. An exhaustive literature survey made in this article has covered the modeling
systems such as Analytical Model, Numerical Simulation Model and Computer...
Pages: 91 - 98
In addition to GA-deception, the lack of fitness differences among low-order schemata can also degrade GA's search. Therefore, a coding should present adequate superior low-order building blocks at the early stage of search. This paper aims to reveal the inherent periodicity in the search process of...
Pages: 60 - 68
This paper intends to classify the Ljubljana Breast Cancer dataset using C4.5 Decision Tree and Nai?ve Bayes
classifiers. In this work, classification is carriedout using two methods. In the first method, dataset is analysed using
all the attributes in the dataset. In the second method, attributes...
Pages: 51 - 59
Light-weight flexible arms will most likely constitute the next generation robots due to their large payload carrying
capacities at high speeds and less power demand. Control problem of robots with flexible members is more
complex compared to rigid robots due to vibrations during the motion. This...
Pages: 10 - 16
Clustering algorithms give general description of clusters, listing number of clusters and member entities in those
clusters. However, these algorithms lack in generating cluster description in the form of pattern. From data mining
perspective, pattern learning from clusters is as important as cluster...
Pages: 83 - 90
n this paper, we shall firstly illustrate why we should discuss the Aumann type set-valued Lebesgue
integral of a set-valued stochastic process with respect to time t under the condition that the set-valued
stochastic process takes nonempty compact subset of d -dimensional Euclidean space. After...
Pages: 17 - 26
The significant economic contributions of the tourism industry in recent years impose an unprecedented force for
data mining and machine learning methods to analyze tourism data. The intrinsic problems of raw data in tourism
are largely related to the complexity, noise and nonlinearity in the data...
Pages: 39 - 50
Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information.
This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an
unsupervised shot change detection algorithm to detect the shot changes...
Pages: 158 - 167
Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of
electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and
mixed eccentricities. The presence of these faults leads to the appearance of frequency...
Pages: 132 - 139
The estimation of cost and production functions in economics relies on standard specifications which are less than
satisfactory in numerous situations. However, instead of fitting the data with a pre-specified model, Artificial
Neural Networks (ANNs) let the data itself serve as evidence to support...
Pages: 140 - 146
We study the dynamics of a network consisting of N diffusively coupled, stable-limit-cycle oscillators on
which individual frequencies are parametrized by Ï‰k , k = 1, . . . , N. We introduce a learning rule which
influences the Ï‰k by driving the system towards a consensual oscillatory state in...
Pages: 104 - 114
We investigate the influence of the update dynamics on the evolution of cooperation. Three of the most
studied games in this area are used: Prisonerâ€™s Dilemma, Snowdrift and the Stag Hunt. Previous studies
with the Prisonerâ€™s Dilemma game reported that less cooperators survive with the asynchronous...
Pages: 124 - 131
A new learning algorithm for advanced robot locomotion is presented in this paper. This method involves both
Cellular Neural Networks (CNN) technology and an evolutionary process based on genetic algorithm (GA) for a
learning process. Learning is formulated as an optimization problem. CNN Templates...
Pages: 147 - 157
This paper introduces a novel ensemble learning approach based on recurrent radial basis function
networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy.
Standing for the base learner in this ensemble, the adaptive recurrent network proposed is based
Pages: 115 - 123
Network-on-chip (NoC) are considered the next generation of communication infrastructure, which will
be omnipresent in most of industry, office and personal electronic systems. In platform-based methodology,
an application is implemented by a set of collaborating intellectual properties (IPs) blocks....
Pages: 277 - 287
Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to
best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable
in all circumstances. Therefore, confidence in the accuracy...
Pages: 298 - 311
The Negative Selection Algorithm (NSA) is a kind of novelty detection method inspired by the biological self/nonself
discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the
NSA. The detectors that fail to pass the negative selection phase...