Showing papers in "Information Sciences in 1999"

TL;DR: A new method of computing all optimal certain rules from an incomplete information system is presented and proved that does not require changing the size of the original incomplete system.

TL;DR: It is shown by examples that the similarity measures proposed by Chen do not fit well in some cases, and a set of modified measures is proposed that turned out to be more reasonable in more general cases than the previous one.

TL;DR: It is demonstrated how information about the noise in the training data can be incorporated into a type-2 FLS, which can be used to obtain bounds within which the true (noisefree) output is likely to lie.

TL;DR: The aim of this paper is to establish a so-called quasi-propositional deductive system syntactically as well as semantically and then set a logic foundation for developing the theory of fuzzy reasoning therefrom.

TL;DR: It is shown that a possibility measure is a coherent upper probability if and only if it is normal, and it is proved that when either the upper or the lower cumulative distribution function of a random quantity is specified, possibility measures very naturally emerge as the corresponding natural extensions.

TL;DR: A solution based on structured neural networks that can be trained quickly and suitable for real-time applications is proposed for the inverse kinematics problem in robotics.

TL;DR: The purpose of this paper is to develop a fuzzy product positioning model, and to design an algorithm for evaluating the positions of each product with estimated ideal products by using a linguistic questionnaire.

TL;DR: It is shown that, through the proposed control scheme, the rotor speed or position of a DC motor can follow any arbitrarily selected trajectories under variable load torque.

TL;DR: Using a Markov chain model and an approximation, the throughput performance of the non-persistent CSMA protocol, the conservative busy tone multiple access (C-BTMA) protocol and the ideal destination-based busy tone Multiple Access protocol for large networks is evaluated.

TL;DR: This tutorial explains the fundamentals of ordinal optimization, a tool for computationally intensive system performance evaluation and optimization problems, and argues its inclusion in the arsenal of soft computing techniques.

TL;DR: A characterization of fuzzy trees is obtained using these concepts and some properties of fuzzy bridges and fuzzy cutnodes are studied.

TL;DR: A modified metric is proposed which contains a single term representing geometric distance only; which reduces to the classical Hausdorff distance when the fuzzy sets are crisp; and which is relatively insensitive to noise.

TL;DR: TQ"n, is a pancyclic network that is cycles of an arbitrary length at least four and is proved that its connectivity is n, its wide diameter and fault diameter are [n/2] + 2.

TL;DR: By applying adaptive interaction, this work can achieve essentially the same adaptation as that using the well-known back-propagation algorithm but without the need of a feedback network to propagate the errors, which has many advantages in practice.

TL;DR: This paper proposes to use a projection operator which leads to partition a relation r into two projections, say r1 and r2 with a less amount of information, and proceeds to replace the original relation by these projections, and shows that this definition of dependency maintains the good properties of completeness of the classical case.

TL;DR: This paper proposes fuzzy entity-relationship methodology (FERM), which is a comprehensive methodology for design and development of fuzzy relational databases and shows the application of FERM to build a prototype of a fuzzy database for a discrete control system for a semiconductor manufacturing process.

TL;DR: In this paper, two types of gradational L-type lattice-valued propositional logic L"v"p"l, with truth values in a lattice implication algebra are introduced and some fundamental questions of them such as semantics, syntax and compactness are investigated.

TL;DR: Two different methodologies that can be used to the design of intelligent decision support systems from the field of medicine are presented, combining artificial neural networks and fuzzy sets, resulting in a neuro-fuzzy classifier.

TL;DR: A new transform of set functions over a finite set is introduced, which is linear and invertible as the well-known Mobius transform in combinatorics, which leads to the interaction index, a central concept in multicriteria decision making.

TL;DR: The authors study in detail some typical self-organizing behaviors exhibited in GAs for solving a traveling salesman problem and propose to use ‘doping’ as the measure to prevent the premature convergence in design of the GAs.

TL;DR: Five different representatives of the ensemble methods and a variation on the ME method found in R. Hinton's Neural Computation 3 (1) (1991) 79–87) are presented, discussed, and compared.

TL;DR: This paper considers in a more general context the application of the second order probability technique, using the Dirichlet family generalization of the uniform distribution over a simplex, in updating an event upon a conditional probability statement when no such disjointness as in the JB problem holds and compatibility is sought with a non-uniform prior.

TL;DR: A simple and systematic approach is developed for modeling and adaptive control of an unknown (or uncertain) chaotic system, using only input–output data obtained from the underlying dynamical system.

TL;DR: The authors propose a novel ID-based group signature scheme which can solve the problem raised by the inclusion of a new group member or the exclusion of an old group member.

TL;DR: Heuristic rules for static life/death analysis for general classes of groups in the game of Go, as implemented in authors’ world championship computer Go programs Go Intellect and HandTalk are described.

TL;DR: The concepts of field computation, a model of computation that processes information represented as spatially continuous arrangements of continuous data, are reviewed and it is shown that many processes in the brain are described usefully as field computation.

TL;DR: In this paper, a reference model architecture for intelligent systems is proposed to tie together concepts from all these separate fields into a unified framework that includes both biological and machine embodiments of the components of mind.

TL;DR: A new approach to object-oriented modeling based on fuzzy logic is proposed to formulate imprecise requirements along four dimensions to model uncertain fuzzy associations between classes.

TL;DR: It is shown that M can be chsen so that if M 2 is equivalent to M 1, then M is a homomorphic image of M 2 and M 1 has an equivalent minimal fuzzy finite automation M .

TL;DR: Efficient algorithms for computing the reliability of a distributed program running on other restricted classes of networks, including series-parallel, 2-tree, a tree, or a star structure are presented.