Where decisions are based on imprecise numeric data and linguistic variables, the development of automated decision aids presents particular difficulties. In such applications, linguistic variables often take their values from a pre-ordered set of vaguely defined linguistic terms. The mathematical structures that arise from the assumption that sets of linguistic terms are pair-wise tolerant are...

Data is often partially known, vague or ambiguous in many real world applications. To deal with such imprecise information, fuzziness is introduced in the classical model. SQLf is one of the practical language to deal with flexible fuzzy querying in Fuzzy DataBases (FDB). However, with a huge amount of fuzzy data, the necessity to work with synthetic views became a challenge for many DB communi...

In recent years, the extraction of data from XML documents is an important issue for XML research and development. Fuzzy processing techniques have been proposed for flexible querying to Native XML Databases. We propose the fuzzy XQuery processing techniques for Native XML database systems, where the weights of attributes can be described by linguistic terms represented by fuzzy numbers. The pr...

The role of linguistic context in the linguistic oriented fuzzy control is emphasized and methods for learning of the linguistic context are presented. The linguistic context of the independent variable is determined automatically whereas the linguistic context of the dependent variable is interpolated from known values .

There are many situations in which problems deal with vague and imprecise information. In such cases, the information could be modelled by means of numbers, however, it doesn’t seem logical to model imprecise information in a precise way. Therefore, the use of linguistic modelling have been used with successful results in these problems. The use of linguistic information involves the need of ca...

This paper presents the framework for the implementation of a non-heuristic technique for thresholding of change images derived from multi-temporal analysis of remotely sensed data using pre-classification techniques. The approach is based on fuzzy sets and fuzzy logic, and it assumes that accurate separation of change/no-change areas can be achieved if the membership function of the fuzzy mode...

Sometimes, an individual may have vague information about the preference degree between two alternatives and can not estimate his preferences with an exact numerical value. Then, a possible approach is to use linguistic assessments instead of numerical values, that is, to suppose that the preference relations are assessed by means of linguistic terms. A scale of certainty expressions, linguisti...

An adaptive fuzzy controller is constructed from a set of fuzzy IF-THEN rules whose parameters are adjusted on-line according to some adaptation law for the purpose of controlling the plant to track a given-trajectory. In this paper, two adaptive fuzzy controllers are designed based on the Lyapunov synthesis approach. We require that the final closed-loop system must be globally stable in the s...

The present paper proposes the development of an adaptive neuro-fuzzy classifier which employs two relatively less explored and comparatively new problem solving domains in fuzzy systems. The relatively less explored field is the domain of the fuzzy linguistic hedges which has been employed here to define the flexible shapes of the fuzzy membership functions (MFs). To achieve finer and finer ad...

In this contribution a new matching function for a symmetrical threshold semantics is presented. It can be interpreted as a tuning of that proposed in [10] which was defined using an ordinal fuzzy linguistic approach. This new matching function is defined using a 2-tuple fuzzy linguistic approach and, consequently, avoids the loss of precision and information in final results. On the other hand...