The object of this paper is to elaborate an automatic system in order to detect suspect zones or tumors in medical image especially brain ones. The purpose is to define with precision the existence of different kinds of lesions using a hybrid system which combines Fuzzy Neural Networks and Expert System. After getting regions features by regions growing or mathematical morphology, the fuzzy neu...

Fuzzy logic, according to Lotfi Zadeh, can be broadly considered as the union of fuzzified crisp logics. Its primary aim is to provide a formal, computationally oriented system of concepts and techniques for dealing with modes of reasoning that are approximate rather than exact. Charles Elkan’s claims are derived mainly from entangled interpretations of fuzzy logic stemming from his mathematica...

We propose an extension principle for fuzzy logic to obtain a Boolean logic able to manage incomplete and partially inconsistent information. Such a logic is strictly related with an extended notion of belief measure. The aim is to give suitable tools to design expert systems able to manage information probabilistic in nature.

In Brazil, soil surveys in more detailed scale are still scarce and necessary to more adequately support the decision makers for planning soil and environment activities in small areas. Hence, this review addresses some digital soil mapping techniques that enable faster production of soil surveys, beyond fitting continuous spatial distribution of soil properties into discrete soil categories, i...

Agriculture in India has a very significant history. Today, India ranked second worldwide in terms of farm output. Over the year agriculture has contributed towards India’s GDP but is narrowly declining with the country's economic growth due lack of initiatives. This paper presents a review on different types of intelligent systems used for agriculture in India namely expert systems using fuzzy...

In intelligent systems where fuzzy rule base and reasoning mechanism are applied, like fuzzy control systems, decision support and expert systems, one of the key issues is the problem of aggregation of information represented by membership functions. Since the pioneering work of Prof. Lotfi Zadeh [21] a great number of fuzzy connectives, aggregation operators have been introduced. The results o...

Diagnosis is a very important aspect of medical care. Expert systems are developed to make the skills of specialists available for non-specialists. These systems simulate human thinking and performance and approach the performance of expert systems to the performance of a human expert. The purpose of this study is to develop a fuzzy expert system for diagnosis and treatment of musculoskeletal d...

Fuzzy rule systems are an important element in the arsenal of automated control, as they are able to process the input provided by sensors and provide their output in very small times. Lately, there has been augmented interest in utilizing fuzzy rule systems in a wider range of applications, due to the intuitive way in which they represent and utilize knowledge. In these contexts, input is not ...

Researchers at the Mississippi State University Diagnostic and Instrumentation Laboratory (DIAL) are collaborating with scientists at the Idaho National Engineering Laboratory (INEL) to develop an expert system that analyzes and characterizes containerized radiological waste. The DIAL researchers are making use of various artificial intelligence (AI) techniques to develop different versions of ...