Showing papers in "Information Sciences in 2001"

TL;DR: The centroid and generalized centroid of a type-2 fuzzy set are introduced, and how to compute them is explained, and examples are given that compare the exact computational results with the approximate results.

TL;DR: It is shown how a small number of linguistically interpretable fuzzy rules can be extracted from numerical data for high-dimensional pattern classification problems and two genetic-algorithm-based approaches are shown.

TL;DR: How computing with words, meant as a set of fuzzy-logic-based tools for an effective and efficient handling of imprecise elements of natural language, can be implemented for fuzzy querying via a user-friendly interface to Microsoft Access, FQUERY for Access is presented.

TL;DR: It is shown that results of SA search are similar to those of GP in both the efficiency of the learned classifiers and in its linguistic interpretability, while the memory consumption of the learning process is lower.

TL;DR: This work presents a genetic feature selection process that can be integrated in a multistage genetic learning method to obtain, in a more efficient way, FRBCSs composed of a set of comprehensible fuzzy rules with high-classification ability.

TL;DR: Genetic algorithms (GAs) are used to simultaneously optimize all of the RBF parameters so that an effective time-series is designed and used for forecasting.

TL;DR: A new method to automatically learn the Knowledge Base of a Fuzzy Rule-Based System is proposed by finding an appropriate Data Base using a Genetic Algorithm and considering a simple generation method to derive the Rule Base.

TL;DR: The paper discusses the problem of modelling linguistic uncertainty, which is the uncertainty produced by statements in natural language, and concludes that, when the predicate is monotonic, possibility measures are appropriate models for linguistic uncertainty.

TL;DR: This paper describes an efficient method for data reconciliation using the incorporation of machine learning and statistical techniques to reduce the complexity of the matching algorithms via identification and elimination of redundant or useless parameters.

TL;DR: The hotel industry is taken as a practical application of forecasting using the Holt–Winters method, whose objective is to maximize revenue by making decisions regarding when to make rooms available for customers and at what price.

TL;DR: The concept of bag complement is redefined suitably and some theorems involving bag operations have beenestablished and many existing and new results have been established based upon this new definition.

TL;DR: It is hoped that the current work would serve as a foundation for constructing resolution-based automated reasoning methods for lattice-valued logic capable of dealing with both comparable and incomparable uncertain information.

TL;DR: A generalized metric for fuzzy numbers is made use of and an exact study is developed for the case of normal fuzzy random variables and an asymptotic study for the cases of simple general fuzzyrandom variables.

TL;DR: This work suggests an approach to comparing fuzzy numbers motivated by a probabilistic view of the underlying uncertainty and shows that this approach is particularly useful for aiding decision makers having a temperate decision attitude, optimism in the face of adversity and conservatism in the faces of adversity.

TL;DR: A discussion on the mathematical formalization of the concept of fuzzy random variable and finding an adequate notion of measurability to be coherent with the notions on the space these random elements take values is developed.

TL;DR: An analysis of the boundary extension methods from the viewpoint of sampling bias and a comparative study on the effect of applying the BES/SD/A did not cause any performance degradation on functions which have their optimum at the center of the search space.

TL;DR: This paper compares a genetic programming approach with a greedy partition algorithm (LOLIMOT) for structure identification of local linear neuro-fuzzy models and compares the performance of both methods for function approximation of a highly non-linear two-dimensional test function and an engine characteristic map.

TL;DR: Some equivalent alternative conditions for a sequence of fuzzy numbers to be statistically Cauchy are studied.

TL;DR: An implementation of a compressed full-text index achieving guaranteed performance in the worst case is presented and an extensive set of experiments show that the proposed index is compact, it is fast in counting the number of pattern occurrences, and the cost of their retrieval is reasonable when they are few.

TL;DR: In extensive experimental comparisons on flight data of several airlines, the new approach performed better than other approaches in 17 out of 24 data sets.

TL;DR: It is demonstrated that the evolutionary algorithm, working together with optimization and pruning procedures, provides structurally simple fuzzy systems whose performance seems to be better than the ones produced by alternative approaches.

TL;DR: P predictive fuzzy PID control theory is developed in this paper, which offers a new approach for robust control of time-delay systems and provides a new way for controlling uncertainty and complex linear and nonlinear systems, even with significant time delay.

TL;DR: A mixed nonlinear programming approach is used to derive the satisfying solution of a new class of fuzzy linear regression model with fuzzy input–fuzzy output data using shape preserving arithmetic operations on L – R fuzzy numbers for least-squares fitting.

TL;DR: This paper investigates the use of vertex disjoint spanning trees to obtain efficient, reliable, and secure information distribution protocols in the star network, and presents several communication protocols, based on vertex-disjointed spanning trees, exhibiting various degrees of fault-tolerance and security.

TL;DR: It is proved that there exist non-fuzzy versions of FMP in classical 2-valued logic as well as in conventional multivalued systems and the roots of these seemingly surprising results are revealed.

TL;DR: There exist a deeper connection between the set membership assignment and the verity assignment of truthood by modal logic with suitable extensions and it is shown that the combination of fuzzy membership values generates a Type II fuzzy set that is captured by FDCF and FCCF formulas.

TL;DR: The notion of a Goguen category is introduced as a suitable algebraic definition and several properties of this kind of a relational category are shown.

TL;DR: The paper attempts to determine the percentage of the total search space (PTSS) that should be covered by GA in order to obtain consistent quasioptimal solutions in different runs and the relationship between the population size and the GA stopping criteria that for a given PTSS ensures the best performance of GA.

TL;DR: It is demonstrated how self-organizing maps (SOM) can be applied to exploratory analysis of gene expression data from a yeast DNA microarray database in order to very rapidly find gene families with similar expression patterns.