Showing papers in "Information Sciences in 2004"

TL;DR: This paper proposes a practical method for group decision making with linguistic preference relations based on the LGA and the LHGA operators and develops some new aggregation operators, which can be utilized to aggregate preference information taking the form of linguistic variables.

TL;DR: An approach to multiple attribute group decision making with uncertain linguistic information is developed based on the ULOWA and the ULHA operators and a practical application of the developed approach to the problem of evaluating university faculty for tenure and promotion is given.

TL;DR: This paper presents a general framework for the study of rough set approximation operators in fuzzy environment in which both constructive and axiomatic approaches are used.

TL;DR: It is proved that for some special thresholds, β lower distribution reduct is equivalent to the maximum distribution reduction reduct, whereas β upper distribution reduCT is equivalents to the possible reduct.

TL;DR: This paper introduces the definitions for generalized fuzzy lower and upper approximation operators determined by a residual implication, and finds the assumptions which permit a given fuzzy set-theoretic operator to represent a upper (or lower) approximation derived from a special fuzzy relation.

TL;DR: A rule based approach to defining multivalued implications is suggested which allows a user to specify an implication to met their customized performance requirements.

TL;DR: The notion of rough subring with respect to an ideal of a ring which is an extended notion of a subring (resp. ideal) in a ring and some properties of the lower and the upper approximations in a rings are given.

TL;DR: Experimental results demonstrate the proposed ACS with communication strategies are superior to the existing ant colony system (ACS) and ant system (AS) with similar or better running times.

TL;DR: In this article, an input-to-state stability approach is applied to access robust training algorithms of discrete-time recurrent neural networks and the authors conclude that for nonlinear system identification, the gradient descent law and the backpropagation-like algorithm for the weights adjustment are stable in the sense of L∞ and robust to any bounded uncertainties.

TL;DR: A linear programming technique for multidimensional analysis of preferences in multiattribute group decision making under fuzzy environments by constructing a linear programming decision model based on the distance of each alternative to a fuzzy positive ideal solution which is unknown.

TL;DR: The WPCM uses a neural network with inputs obtained by both the principal components and class profile-based features to classify news web page features.

TL;DR: BCL1, BCLn, and BCLF are bipolar generalizations or fusions of Boolean logic, multiple valued logic, and fuzzy logic, respectively, which provides a unique representation for bipolar knowledge fusion and visualization in an equilibrium world.

TL;DR: A natural equivalence relation on the set of all fuzzy subsets, generalizing the equality of crisp sets, was recently introduced and studied in various contexts and gives rise to the idea of a pinned-flag, their equivalences and index of fuzzy subset.

TL;DR: The characteristics of experts' rules are closely examined and a new approach to generate diagnostic rules is introduced, which shows that induced rules correctly represent experts' decision processes.

TL;DR: Experimental results show that the proposed algorithm can perform the extraction of human head, face and facial features successfully and is tested on more than 100 FERET face images.

TL;DR: A constraint satisfaction method is introduced which uses the temporal uncertainty in symptom durations that may occur with particular diseases to estimate the stage of a disease if the temporal constraints of the disease in relation to the occurrence of the symptoms are satisfied.

TL;DR: A new metaheuristic approach called ACOMAC algorithm for solving the traveling salesman problem (TSP) is presented, which introduces multiple ant clans' concept from parallel genetic algorithm to search solution space utilizing various islands to avoid local minima and thus can yield global minimum for solved TSPs.

TL;DR: The notion of left-right (resp. right-left) derivation of a BCI-algebra is introduced, and some related properties are investigated, and a condition for a derivation to be regular is given.

TL;DR: The fuzzy setting of a left h-ideal in a hemiring is constructed, and basic properties are investigated.

TL;DR: In this work, evolutionary algorithms are used to automatically build a radial basis function neural networks (RBF NN) that solves a specified problem, in this case related to currency exchange rates forecasting.

TL;DR: Three novel types of fuzzy scheduling models are presented and a hybrid intelligent algorithm is also designed for solving these models.

TL;DR: In this paper, adaptive mathematical morphology and its application to edge linking are presented to fill in the gaps between edge segments by using the adaptive dilation operation with the suitable sized elliptical structuring elements.

TL;DR: This paper proposes some fuzzy models based on fuzzy present worth that allow experts' linguistic predicates about computer integrated manufacturing systems and results can be obtained especially for such a concept like flexibility that is described in many intangible dimensions.

TL;DR: This approach exploits the quasi-linear nature of Takagi-Sugeno models and builds-up the control rule-base structure and adapts it in on-line mode with recursive, non-iterative learning.

TL;DR: Multiple model predictive control (MMPC) strategy based on the Takagi-Sugeno (T-S) model is proposed in this paper and the presented modeling and controller design procedure is demonstrated on an MIMO simulated pH neutralization process.

TL;DR: This paper shows how the parameter-less genetic algorithm technique can be used in practice by applying it to a network expansion problem by developing a problem difficulty measure which can be useful for comparing the difficulty of real-world problems.

TL;DR: The fine spectrum of the difference operator on the sequence spaces c0 and c have been examined and a Mercerian theorem has also been given.

TL;DR: This paper continues the study the notion of statistically convergent and statistically Cauchy for double sequences of fuzzy numbers and finds that the former is more likely than the latter.

TL;DR: An approach to apply term distributions, in addition to tf and idf, to improve performance of centroid-based text categorization, and how these term distributions contribute to weight each term in documents is investigated.

TL;DR: Experiments in which the proposed validity index and several traditional validity indices were applied to 6 data sets highlight the superior qualities of the proposed index.