Titlebook: ;

fetter

diathermy

incision

Nonlinear Bounded-Error Parameter Estimation Using Interval Computation, of all values of the parameter vector that are acceptable in the sense that all errors between the experimental data and the corresponding model outputs lie between known lower and upper bounds. This corresponds to what is known as bounded-error estimation or membership-set estimation. Most of the

AROMA

Random-Sets: Theory and Applications, subjective notions are modelled and matched with data. For problems in which uncertainty has been modelled using probability theory in the past, discussions on what approach is right, frequently conclude that both should complement each other. In the present text, we consider such synergy of fuzzy

Aromatic

Rough Sets and Boolean Reasoning,ment of several software systems that implement rough set operations, in particular for solving knowledge discovery and data mining tasks. Rough sets are applied in domains, such as, for instance, medicine, finance, telecommunication, vibration analysis, conflict resolution, intelligent agents, patt

委屈

Granulation and Nearest Neighborhoods: Rough Set Approach,a unique crisp/fuzzy subset of data, representing the “nearest” neighborhood, is a binary relation between the object and data spaces. “Nearest” neighborhood consists of data that are semantically related to ., and represents an elementary granule (atoms) of the system under consideration. This pape

jarring

An Inquiry into the Theory of Defuzzification,ration along with the operation of fuzzification is critical to the design of fuzzy systems as both of these operations provide nexus between the fuzzy set domain and the real valued scalar domain. We need the synergy of both of these domains to solve many of our ill-posed problems effectively. In t

glamor

BYRE

A Coding Method to Handle Linguistic Variables,iverse of discourse of the linguistic variable in binary or bipolar terms. This will permit us to process fuzzy information expressed in linguistic terms using discrete models of Artificial Intelligence. In order to test the effectiveness, we apply this method to the memorization of a set of fuzzy r

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