Showing papers in "Information Sciences in 2005"

TL;DR: The generalized theory of uncertainty (GTU) which is outlined in this paper breaks with this tradition and views uncertainty in a much broader perspective and represents a significant change both in perspective and direction in dealing with uncertainty and information.

TL;DR: In this article, the fuzzy multi-attribute AD approach is also developed and it is compared by one of fuzzy AHP methods in the literature, and the selection process has been accomplished by aiding a software that includes crisp AD and fuzzy AD.

TL;DR: Experimental results demonstrate that DE/EDA outperforms the DE algorithm and the EDA, and combines global information extracted by EDA with differential information obtained by DE to create promising solutions.

TL;DR: This paper is an introduction of the OAI protocol for metadata harvesting and the main technical idea of OAI-PMH is how to implementing the protocol.

TL;DR: To investigate the performance of the proposed approach for time series forecasting in response to real data, a stock market forecasting system has been implemented and tested on two stock market indexes, and the good forecasting capability of the approach repeatedly outperformed the "Buy and Hold" strategy.

TL;DR: This paper introduces a new time-series forecasting model based on the flexible neural tree (FNT), which is generated initially as a flexible multi-layer feed-forward neural network and evolved using an evolutionary procedure.

TL;DR: An extension of the classic Yager's approach to involve more sophisticated criteria of goodness, search methods, etc, and shows how fuzzy queries are related to linguistic summaries, which makes it possible to implement such linguistic data summaries.

TL;DR: With this new similarity measure, it is shown that type-II fuzzy sets provide us with a natural language for formulating classification problems in pattern recognition.

TL;DR: In this paper, a minimax disparity approach for obtaining OWA operator weights is proposed by minimizing the maximum difference between any two adjacent weights.

TL;DR: It is proved that both of belief reduct and plausibility reduct are equivalent to classical reduct in (random) information systems.

TL;DR: The main contribution of this paper is that the definition, conversion, and treatment of vague and complex multi-level criteria as set memberships under the fuzzy set theory are employed to develop a practical model for business purpose.

TL;DR: An efficient distributed model predictive control scheme based on Nash optimality, in which the on-line optimization of the whole system is decomposed into that of several small co-operative agents in distributed structures, thus it can significantly reduce computational complexity in models predictive control of large-scale systems.

TL;DR: An H∞ control design approach is developed using basis-dependent Lyapunov function for a class of discrete-time fuzzy systems with uncertainty that leads to some sufficient results in the form of strict linear matrix inequalities (LMIs).

TL;DR: For given two digital images both equipped with each digital connectedness, it is shown that the digital fundamental groups of both images do not necessarily lead to thedigital fundamental group of the product image.

TL;DR: This paper presents a robust technique embedding the watermark of signature information or textual data around the ROI of a medical image based on genetic algorithms.

TL;DR: The peak signal to noise ratio (PSNR) on the decompressed images for several values of the compression rates is evaluated as measure of the quality of images and frames reconstructed.

TL;DR: Results of qualitative simulations and quantitative analysis based on thermodynamical modeling of an office building and its staff using four different approaches for controlling the building indicate that significant energy savings can result from using the agent-based approach.

TL;DR: The results show that the fuzzy integral is more suitable than a traditional multicriteria evaluation method for human subjective evaluation, or when criteria are not mutually independent.

TL;DR: The fuzzy bi-ideals in ordered semigroups are defined and the main theorem which characterizes the bi-Ideals in terms of fuzzy bi theorems are given, which are analogous for several notions that have been proved to be useful in the theory of ordered Semigroups.

TL;DR: The achieved results suggest that Free Search has stable robust behaviour on explored tests; FS can cope with heterogeneous optimisation problems; FS is applicable to unknown (black-box) real-world optimisation tasks.

TL;DR: A hybrid search algorithm with heuristics for resource allocation problem encountered in practice is proposed that has both the advantages of genetic algorithm and ant colony optimization that can explore the search space and exploit the best solution.

TL;DR: Simulation and real process testing results show that the proposed MMPC approach is effective in HVAC system control applications.

TL;DR: The algorithm proposed is highlighted by three advantages: the semi-global uniform ultimate bound of RAFTC in the presence of perturbed uncertainties and unknown virtual control gain nonlinearities can be guaranteed, the adaptive mechanism with minimal learning parameterizations is obtained and the possible controller singularity problem in some of the existing adaptive control schemes with feedback linearization techniques can be removed.

TL;DR: The results of the pilot study show that the neurofuzzy model successfully manages the inherent uncertainty of the diagnostic process; especially for marginal cases, i.e. where it is very difficult, even for human tutors, to diagnose and accurately evaluate students by directly synthesizing subjective and, some times, conflicting judgments.

TL;DR: Effects of concentration and dilation of a trapezoidal fuzzy number on the location of the median value and the median interval are studied and central value and central interval of a fuzzy number are proposed.

TL;DR: A new sufficient condition guaranteeing the H∞ performance of the TS fuzzy systems is first derived, which is expressed by a set of linear matrix inequalities (LMIs), which is less conservative than previous results obtained within the quadratic framework.

TL;DR: A tongue-computing model (TCoM) is presented for the diagnosis of appendicitis based on quantitative measurements that include chromatic and textural metrics that are computed from true color tongue images by using appropriate techniques of image processing.

TL;DR: By empirical experiments on real-world datasets it is verified that the proposed decision tree learning model has better or equivalent classification accuracy compared to three well known machine learning algorithms.

TL;DR: This paper has developed a novel system for learning and adapting the type- 2 fuzzy agents so that they can realise the vision of ambient intelligence by providing a seamless, unobtrusive, adaptive and responsive intelligence in the environment that supports the activities of the user.

TL;DR: This paper first defines three kinds of equilibrium chances via fuzzy integrals in the sense of Sugeno, then a new class of fuzzy random programming problems is presented based on equilibrium chances and some convex theorems about fuzzy random linear programming problems are proved.