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...

A fuzzy-modeling method for the emulation of expert decision behavior for static as well as dynamic systems is presented. The input – output dataset of the system – or expert behavior is changed using fuzzy-sets into examples in linguistic form. These resulting examples build the fundament of the machine learning process for rule production (ID3).

Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating...

Fuzzy System (FS) and Artificial Neural Networks (ANN) are complementary methods. But while ANN can learn from data FS cannot. Also, Genetic Algorithms (GA) are complementary to FS. While the FS are easy to understand, the GA are not, although they have the ability to learn, and so on. Many researches have been devoted to its fusion. Our purpose is to give a survey of these questions. 2000 Math...

Malaria, Typhoid, Tuberculosis, Sexually Transmitted Diseases, Urinary Tract Infection, Yellow fever, Hepatitis-B, Leprosy and Chicken Pox are the existing tropical diseases that are considered in this work. In sub-Saharan Africa, the application of fuzzy logic to the diagnosis of these diseases is still very sparse and in some places practically nonexistent. Fuzzy set theory and fuzzy logic ar...

This paper presents a survey of voltage/Var control techniques. It introduces both the control devices for individual reactive power sources and several popular control systems (OPRF, hierarchical voltage control, expert system and fuzzy logic) for whole power transmission network. 2. REACTIVE POWER SOURCES AND THEIR CONTROL DEVICES

Both crisp and fuzzy rule-based expert systems are increasingly used in the real-time environments. For both types of systems the stability and nite response time are required. It is therefore crucial for both to provide tools that perform stability analysis. This paper shows how the analysis tools built for crisp real-time rule-based system might be used for fuzzy systems as well. Major diiere...

A fuzzy logic toolkit has been developed for the formal specification language Z. It permits the incorporation of fuzzy concepts into the language while retaining the precision of any Z specification. The toolkit provides the necessary operators, measures and modifiers for the definition and manipulation of fuzzy sets and relations. This paper illustrates how the toolkit can be used to specify ...

The work introduces Island Restoration Scheme (IRS) with online restoration of missing sensor data. This paper focuses on the Restoration Scheme with Intelligent Sensing and Monitoring and also entails fuzzy logic theory representation for alarm analysis in electrical power system based on expert system . Theoretical and mathematical representation of alarm analysis for fault diagnosis has also...

SGS implemented two rules-based fuzzy logic expert applications on two grinding circuits operated by Peñoles Group in Mexico. Both expert systems are based on control strategies that push against process constraints to improve throughput. Based on proven methodologies, the projects also required some new approaches that led to permanent changes to the mill control strategy. This paper provides ...