Showing papers in "Information Sciences in 2002"

TL;DR: It is shown that every decision algorithm reveals some well-known probabilistic properties, in particular it satisfies the total probability theorem and the Bayes' theorem, giving a new method of drawing conclusions from data, without referring to prior and posterior probabilities.

TL;DR: The genetic algorithm-based efficient clustering technique, called KGA-clustering, while exploiting the searching capability of K-Means, avoids its major limitation of getting stuck at locally optimal values.

TL;DR: The value of the correlation coefficient between interval-valued intuitionistic fuzzy sets lies in the interval [−1,1], as computed from the formula obtained from the “centroid” method.

TL;DR: Based on a binary relation on a finite universe, six families of binary relations are obtained, and the corresponding six classes of k-step neighborhood systems are derived.

TL;DR: A class of neural architectures of Polynomial Neural Networks (PNNs) are introduced, a comprehensive design methodology is discussed, a series of numeric experiments are carried out and a polynomial type of mapping between input and output variables are realized.

TL;DR: The paper deals with the fuzziness based upon fuzzy taxonomies that reflect partial belongings among itemsets, as well as upon the extended settings for the degree of support and the level of confidence.

TL;DR: This paper presents elements of a consensus system, the postulates for consensus choice functions, their analysis and algorithms for consensus determining, and proposes to solve a consensus problem by means of aensus function.

TL;DR: This paper provides a spectrum of random fuzzy dependent-chance programming in which the underlying philosophy is based on selecting the decision with maximal chance to meet the event and trains a neural network to approximate chance functions based on the training data generated by the random fuzzy simulation.

TL;DR: Two fuzzy production inventory models with fuzzy parameters for crisp production quantity, or for fuzzy production quantity under the fuzzy arithmetical operations of Function Principle are introduced and optimal solutions are found.

TL;DR: An architecture of VR-based training systems and a practical knowledge modeling approach to modeling the training scenarios of the systems by using Petri nets formalism are presented.

TL;DR: The question of whether there is a deterministic counterpart to the notion of a fuzzy automaton is considered and a definition of deterministic fuzzy automata is proposed and it is shown that they are equally powerful as fuzzyAutomata.

TL;DR: This paper generalizes results of Wang and Li on interval-valued fuzzy numbers and extends their operations with simple proofs and considers some algebraic properties and a distance measure for interval- valued fuzzy numbers.

TL;DR: The experiments demonstrate that the proposed method can effectively enhance the contours and fine details of the mammographic features which will be useful for breast cancer diagnosis.

TL;DR: This paper introduces a concept of inclusion degree into rough set theory and establishes several important relationships between the inclusion degree and measures on rough set data analysis.

TL;DR: An Ascoli–Arzela type theorem is proved and applied to solving the Cauchy problem x(t)=f(t,x(t), x( t0)=x0 on Fc(X), which gives some applications to the characterization of relatively compact subsets of Fc (X).

TL;DR: An autonomous navigation system for a large underground mining vehicle based on a robust reactive wall-following behaviour that has achieved full-speed autonomous operation at an artificial test mine, and subsequently, at a operational underground mine.

TL;DR: The fundamental research challenges particular to mobile database computing are surveyed, some of the proposed solutions are reviewed and some the upcoming research challenges are identified.

TL;DR: In this paper, a closed-form solution to the blocking and dropping probability in wireless cellular networks with handoff is presented, and performance measures of interest are explicitly given, including failure and repair of channels and performance analysis for cellular systems.

TL;DR: An algorithm for automatic outline capture of digital character images, particularly suitable for non-Roman languages like Arabic, is presented, which fully automates the process and produces the best optimal results.

TL;DR: This study elaborate on the role of information granulation and the ensuing information granules in description of time series and signal analysis, in general and proposes an algorithm that produces a complete information granule - fuzzy set.

TL;DR: The paper proposes a diphone/sub-syllable method for Arabic Text-to-Speech (ATTS) systems that exploits the particular syllabic structure of the Arabic words.

TL;DR: In this article, a fuzzy logic based traffic junction signal controller (FTJSC) is presented to design a more practical controller, which is applicable to multiple junctions and multiple lanes without any modification.

TL;DR: This paper describes the robot learning problem and point out some major issues that need to be addressed in conjunction with reinforcement learning, and discusses how different kinds of expert knowledge and measurement-based information can be incorporated in the GAFRL agent so as to accelerate its learning.

TL;DR: A system for behavior-based control of an autonomous underwater vehicle for the purpose of inspection of coral reefs, a task currently performed by divers holding a video camera while following a rope, is presented.

TL;DR: An adaptive fuzzy control scheme based on well-known Takagi-Sugeno (T-S) fuzzy models for the MIMO plants is constructed and the developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system.

TL;DR: In this paper, the authors study caching strategies for proxies that cache VBR-encoded continuous media objects for highly interactive streaming applications and develop novel caching strategies that either implicitly or explicitly track the request pattern and cache (and replicate) objects accordingly.

TL;DR: It is concluded that RMLP can approximate any dynamic system in any degree of accuracy by means of a Lyapunov-like analysis, and a stable learning algorithm is determined.

TL;DR: This approach is based upon the pretopological concepts of pseudoclosure and minimal closed subsets, which provides a framework which is general enough to model and formulate different types of connections that exist between the elements of a population.

TL;DR: The fundamental idea of self-adaptation is outlined in this paper and some simpler application examples to problems occurring in traffic control and engineering are given.

TL;DR: A newly proposed mechanism, called Student-Problem-Course (SPC) table is discussed, and the system of using the performance evaluation to redesign course material and to review automatically generated tutorials.