Showing papers in "Fuzzy Sets and Systems in 2014"

TL;DR: It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are bounded, and the input and output constraints are circumvented simultaneously.

TL;DR: This study proposes the concept of the information granularity being regarded as an important and useful asset supporting the goal to reach consensus in group decision making by using fuzzy preference relations to represent the opinions of the decision makers.

TL;DR: The concept of Archimedean overlap functions is introduced, presenting a study about the cancellation, idempotency and limiting properties, and providing a characterization of such class of functions.

TL;DR: General criteria ensuring global exponential synchronization in mean square of the addressed TS fuzzy complex networks are obtained and the theory of function minimum value is utilized to reduce the conservativeness of the obtained synchronization criteria.

TL;DR: This paper is intended to offer a global view of the development on this branch until now, focusing in the different approaches dealing with quantification, specially those involving imprecision, called fuzzy quantification.

TL;DR: It is shown that the proposed control approach can guarantee that the closed-loop system is input-state-practically stable (ISpS) in probability, and the output of the system converges to a small neighborhood of the origin by appropriately tuning several design parameters.

TL;DR: This paper discusses some properties about the minimal solutions of fuzzy relation inequalities with addition–min composition, and gives an algorithm to get the set of the pseudo-minimal indexes, which is called PMI algorithm.

TL;DR: A novel expanded fuzzy rough set model called the variable precision ( θ , σ ) -fuzzy rough setmodel based on fuzzy granules is proposed, and a theorem is presented to ensure that the approximation operators can be calculated efficiently.

TL;DR: The results demonstrate that the proposed fuzzy reliability algorithm arises as a suitable alternative for the probabilistic reliability approach when quantitative historical failure data are unavailable.

TL;DR: A new type of fuzzification for formal concept analysis that works with heterogeneous values in a context and is a generalization of the previous approaches: it covers the so-called generalized concept lattice and multi-adjoint t-concept lattices.

TL;DR: A new multiperiod mean absolute deviation fuzzy portfolio selection model with transaction cost, borrowing constraints, threshold constraints and cardinality constraints is proposed, and is transformed into a crisp nonlinear programming problem.

TL;DR: The consistency of interval multiplicative reciprocal matrices is utilized to propose a generalized ordered weighted geometric averaging operator, which permits the aggregation of interval multiplication matrices in such a way that more important weight is given to that with more consistency.

TL;DR: A new concept of convergence under which the quotient space is complete is introduced: if every fuzzy number is identified with the corresponding equivalence class, there would be more differentiable fuzzy functions than what is found in the literature.

TL;DR: The proposed interval-valued possibilistic fuzzy c-means (IPFCM) clustering algorithm is compared with five fuzzy clustering approaches, and is shown to be more robust to outliers and initializations and can produce more accurate clustering results.

TL;DR: The ordinal consistency is defined and an algorithm to judge whether an incomplete reciprocal preference relation is ordinally consistent is developed, which can preserve the initial preference information as much as possible and can be used for an incomplete reciprocity preference relation with strict comparison and non-strict comparison information.

TL;DR: New operations on the algebra of fuzzytruth values, extended supremum and extended infimum, which are generalizations of the extended operations of maximum and minimum between fuzzy truth values for type-2 fuzzy sets, respectively are introduced.

TL;DR: It is shown that the proposed control approach guarantees that all the signals of the resulting closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in mean-square in the sense of probability, and the observer errors and tracking errors can be regulated to a small neighborhood of the origin by choosing design parameters appropriately.

TL;DR: A distributed adaptive fuzzy iterative learning control algorithm to deal with coordination control problems in leader-following multi-agent systems in which each follower agent has unknown dynamics and a non-repeatable input disturbance is proposed.

TL;DR: This survey paper, specifically targeted at a readership of fuzzy logicians and fuzzy set theorists, aims to provide a gentle introduction to the basic notions of quantaloid-enriched category theory.

TL;DR: This paper focuses on the analysis of the generalized Aristotelian square of opposition, which, in addition to the classical quantifiers, can be extended by several selected intermediate quantifiers and shows that the expected relations can be well modeled in the theory.

TL;DR: A eigenfunction based model reduction technique is proposed to obtain the coefficient vectors in an efficient way and a numerical example of axial deformation of a rod with fuzzy axial stiffness is considered to illustrate the proposed methods.

TL;DR: A variant of constraint interval arithmetic that operates with a single parameter (level) in each interval operand of an expression is proposed, resulting in a computationally simple intervals arithmetic that has several desirable properties not shared in general by interval operations previously defined in the literature.

TL;DR: The convergence of the method of successive approximations used to approximate the solution of nonlinear Hammerstein fuzzy integral equations is proved and the notion of numerical stability of the algorithm with respect to the choice of the first iteration is defined.

TL;DR: This work presents a method of extending t-norms, t-conorms and fuzzy negations to a lattice-valued setting by preserving the largest possible number of properties of these fuzzy connectives which are invariants under homomorphisms.

TL;DR: Different methods for the construction of fuzzy equivalency from biresiduations, automorphisms, fuzzy negations, t-norms and t-conorms are proposed and two manners of generating similarity measures of P.Z. Wang from fuzzy equivalencies are given.

TL;DR: A new multi-period portfolio optimization model with return demand and risk control in a fuzzy investment environment, in which the returns of assets are characterized by fuzzy numbers is proposed and transformed into a crisp nonlinear programming problem by using fuzzy programming approach.

TL;DR: A new fuzzy linear programming method (FLPM) is developed to deal with the GDM problems with additive reciprocal fuzzy preference relations (FPRs), which can directly produce meaningful results without the four steps.

TL;DR: It is shown that fuzzy option prioritization can be used when the truth values of preference statements at feasible states are completely based on Boolean logic, thereby generating a crisp preference over feasible states that is the same as would be found by employing the existing crisp option prioritized technique.

TL;DR: A robust adaptive sliding-mode control scheme for a class of condenser-cleaning mobile manipulator (CCMM) in the presence of parametric uncertainties and external disturbances is presented and simulation results validate the superior control performance of the proposed adaptive control method.

TL;DR: The goal of the paper is to design fuzzy state-feedback controllers such that systems with partly unknown transition rates are not only regular, impulse-free and stochastically stable, but also satisfy a prescribed H ∞ performance for all delays no larger than a given upper bound in terms of linear matrix inequalities.