In the paper a semiautomatic control system to steering of unmanned underwater vessel is considered. The fuzzy logic is incorporated for the keeping of desired orientation and two independent controllers are used to generate command signals. Input variables fuzzification, fuzzy rules and output set defuzzification are described. Quality of control is concerned for different surge speeds. Some c...

Using a standard fuzzification procedure and the dynamical map in Heisenberg picture, a new expression for the state transformation after a fuzzy filter measurement, subject to covariance conditions, was obtained and some calculations were done to distinguish its properties from the those of the usual solution. State transformations after quantum fuzzy measurements 2 ”Transilvania” University, ...

A fuzzy autopilot for track-keeping control of underwater vehicles is considered. Input variables fuzzification, fuzzy rules and output set defuzzification are described. Quality of control of the fuzzy tracking controller under influence of the sea current disturbance was analysed and compared to a traditional PD controller. Some computer simulations are provided to demonstrate the effectivene...

Abstract. In this paper, we introduce the concept of T−fuzzy interior ideal, T−fuzzy simple, T−fuzzy bi-ideal, and generalized T−fuzzy bi-ideal of a Γ−semigroup. We characterize Γ−semigroups through T−fuzzification. We find equivalent conditions on these fuzzy subsets in simple Γ−semigroups and Γ−semigroups. Finally, we establish a necessary and sufficient condition for a T -fuzzy bi-ideal to b...

Every student is unique. Evaluation of student answersheet should be done in more fair and transparent manner. Whenever subjective evaluation is there it may lead to difference of opinion. Fuzziness arises by virtue of difference in opinion. To improve the classical statistics of the teaching assessment this paper combines the various methods. It uses fuzzy logic to solve the said problem of Ev...

This paper proposes a confluence between soft OR and soft computing methods, by means of an application of fuzzy logic ideas to robustness analysis. Both methods try to add flexibility to proposed solutions of real world problems, although insofar as their application contexts are concerned, they have been quite apart. So it is only natural to bring them together in what could be called a "fuzz...

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea of dummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models, the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentence have been used for inputs. Consequen...

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

We propose a new type of fuzzification for formal concept analysis that works with heterogeneous values in a context and illustrate this with an example. We formulate and prove an appropriate counterpart to the so-called basic theorem of a concept lattice. We show that this is a generalization of the previous approaches: it covers the so-called generalized concept lattice and multi-adjoint t-co...