In this article the methodology proposed by Li and Wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. The main issue of their approach considers the multivariate statistics of principal component analysis (PCA), along with clustered fuzzy digraphs and reasoning. The PCA and fuz...

This paper presents the main characteristics of XFL, a language for fuzzy logic based systems. Its more relevant features are the ability to define potentially complex systems and the independence from the particular techniques employed for implementing fuzzy operations. This language has been used as the base for several hardwareand software-oriented development tools, which are also briefly i...

Financialmarkets are complex systems influenced bymany interrelated economic, political and psychological factors and characterised by inherent nonlinearities. Recently, there have been many efforts towards stock market prediction, applying various fuzzy logic techniques and using technical analysis methods. This paper presents a short term trading fuzzy system using a novel trading strategy an...

Monitoring system behaviors is an important task in real world applications. In this paper we present a monitoring framework in which learning techniques are used to acquire the knowledge needed for the monitoring of complex systems. In particular, the monitoring problem is interpreted as deviation from standard behavior: sensorial data are captured by a set of sensors and used to learn a model...

the proposed system and a conventional system. We could see that our system improved the system performance by 4 N 20% compared with the conventional method. The developed system was commercialized in 1992 by an industrial company, and this product has a good reputation in the market. In this study, the area-weight was determined by the fuzzy approach. In a further study we will apply the same ...

In recent two decades, countries focused on minimum extraction of fossil fuels and utilized the renewable energies based on countries' policies and the environmental considerations. Thus, choosing the best renewable energy alternative is a significant role to investment on them. Among the classical decision approaches that have used in the literature, the hesitant fuzzy sets (HFSs) theory is ap...

Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...

The crecient use of fuzzy systems in complex applications has motivated us to develop a new version of Xfuzzy, the design environment for fuzzy system created at the IMSE (Instituto de Microelectrónica de Sevilla). This new version, Xfuzzy 3.0, offers the advantages of being enterely programmed in Java, and allows designing hierarchical rule bases that can interchange fuzzy or non fuzzy values ...

A new complex neuro-fuzzy self-learning approach to the problem of function approximation is proposed, where complex fuzzy sets are used to design a complex neuro-fuzzy system as the function approximator. Particle swarm optimization (PSO) algorithm and recursive least square estimator (RLSE) algorithm are used in hybrid way to adjust the free parameters of the proposed complex neuro-fuzzy syst...

In this paper, we propose a new dynamical fuzzy modeling technique for SISO complex systems. It is seen that, the whole state-space of a complex system is divided into subspaces and a linear time-invariant (LTI) model is then used tu approximate the complex system in each subspace. However, the global dynamical fuzzy model of the complex system is derived by aggregating all subsystem poles and ...