Showing papers in "Information Sciences in 2010"

TL;DR: This paper focuses on the use of nonparametric statistical inference for analyzing the results obtained in an experiment design in the field of computational intelligence, and presents a case study which involves a set of techniques in classification tasks.

TL;DR: This paper provides an analysis of three-way decision rules in the classical rough set model and the decision-theoretic rough set models, enriched by ideas from Bayesian decision theory and hypothesis testing in statistics.

TL;DR: It is shown that some of the properties of Pawlak's rough set theory are special instances of those of MGRS, and several important measures are presented, which are re-interpreted in terms of a classic measure based on sets, the Marczewski-Steinhaus metric and the inclusion degree measure.

TL;DR: The Choquet integral is used to propose some intuitionistic fuzzy aggregation operators that not only consider the importance of the elements or their ordered positions, but also can reflect the correlations among the elements and theirordered positions.

TL;DR: The proposed hybrid approach (which combines content-filtering techniques with those based on collaborative filtering) also provides all typical advantages of any social network, such as supporting communication among users as well as allowing users to add and tag contents, rate and comment the items, etc.

TL;DR: An implemented web based consensus support system able to help, or even replace, the moderator in a consensus process where experts are allowed to provide their preferences using one of many types (fuzzy, linguistic and multi-granular linguistic) of incomplete preference relations.

TL;DR: The experimental validation shows the effectiveness of the proposed driver fatigue recognition model and indicates that the contact physiological features are significant factors for inferring the fatigue state of a driver.

TL;DR: A new approach is developed that uses the ordered weighted averaging (OWA) operator in the selection of financial products to manipulate the attitudinal character of previous methods based on distance measures, so that the decision maker can select financial products according to his or her degree of optimism.

TL;DR: A new objective weighting method that employs intuitionistic fuzzy (IF) entropy measures to solve multiple-attribute decision-making problems in the context of intuitionistically fuzzy sets based on the credibility of the input data is proposed.

TL;DR: Some relations and operations of interval-valued intuitionistic fuzzy numbers are introduced, some types of matrices are defined and a method based on distance measure for group decision making with interval-value intuitionistic fuzziness matrices is developed.

TL;DR: An identity-based authenticated key agreement protocol which removes bilinear pairings is proposed which minimizes message exchange time with no extra cost and provides strong security guarantees including key compromise impersonation resilience, perfect forward secrecy, and master key forward secrecy.

TL;DR: The performance study shows that sinusoidal migration curves provide the best performance among the six different models that were explored in BBO, and comparison with other biology-based optimization algorithms is investigated.

TL;DR: This paper introduces the concept of fuzzy decision reducts, dependent on an increasing attribute subset measure, and presents a generalization of the classical rough set framework for data-based attribute selection and reduction using fuzzy tolerance relations.

TL;DR: A CF-based recommendation methodology based on both implicit ratings and less ambitious ordinal scales is proposed, and a specific consensus model typically used in multi-criteria decision-making (MCDM) is employed to generate an ordinal scale-based customer profile.

TL;DR: In order to demonstrate the usefulness of the presented consensus scheme, a technique for multicriteria analysis, based on fuzzy preference relation modeling, is utilized for solving a hypothetical enterprise strategy planning problem, generated with the use of the Balanced Scorecard methodology.

TL;DR: The approach of behavior informatics is proposed, in order to support explicit and quantitative behavior involvement through a conversion from source data to behavioral data, and further conduct genuine analysis of behavior patterns and impacts.

TL;DR: A hybrid forecasting model, using multi-technical indicators to predict stock price trends, is proposed, superior to the two listed forecasting models (RST and GAs) in terms of accuracy, and the stock return evaluations have revealed that the profits produced by the proposed model are higher than the three listed models.

TL;DR: In this methodology, IF sets are constructed to capture fuzziness in decision information and decision making process, and the group consistency and inconsistency indices are defined on the basis of pairwise comparison preference relations on alternatives given by the decision makers.

TL;DR: The study shows important information about the behavior of DE in constrained search spaces and the role of this knowledge in the correct combination of variants, based on their capabilities, to generate simple but competitive approaches.

TL;DR: A concrete construction is proposed, which is proven secure in the random oracle model, based on the modified Decisional Bilinear Diffie-Hellman assumption.

TL;DR: The robustness and the tightly embedded capacity analysis of the three proposed methods are demonstrated and experimental results indicate a better performance of the proposed methods compared to the performances of the competing methods with respect to several parameters such as capacity, payload and bpn.

TL;DR: A new algorithm named ''Estimation of Distribution and Differential Evolution Cooperation'' (ED-DE) is proposed, which is a serial hybrid of two effective evolutionary computation (EC) techniques: estimation of distribution and differential evolution.

TL;DR: A novel adaptive fuzzy controller is designed based on the Razumikhin function approach, which guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded.

TL;DR: It is shown that the information common to both concept lattices can be seen as a sublattice of the Cartesian product of both Concept lattices.

TL;DR: An ensemble of niching algorithms (ENA) is proposed and illustrated by an instantiation which is realized using four different parallel populations and confirms that ENA method is as good as or better than the best single method in it on every test problem.

TL;DR: The simulation results show that the FTSMC can provide much good tracking performance than that of the classical fuzzy sliding-mode controller (FSMC).

TL;DR: A new information entropy measure of interval-valued intuitionistic fuzzy set (IvIFS) is proposed by using membership interval and non-membership interval of IvIFS, which complies with the extended form of Deluca-Termini axioms for fuzzy entropy.

TL;DR: A new method for multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques and the experimental results show that the proposed method produces better forecasting results than several existing methods.

TL;DR: Two constructions of hidden attribute-based signature from pairings are proposed, one of which supports a large universe of attributes and its security proof relies on the random oracle assumption, which can be removed in the second construction.