Policy-makers and planners have to make decisions in the face of varying degrees of uncertainty and risk. SimCoastTM is an intelligent computing system designed to addresses these problems explicitly. Here we look at how fuzzy logic and expert systems two of the fundamental approaches within SimCoastTM can be used to improve decision-making in relation to conditions of high levels of uncertaint...

In this paper, an integrative strategy is proposed to solve synthesis problems in non-connict cases in distributed expert systems (DESs) based on fuzzy logic operations. In this strategy, the synthesis situations is identiied as overlap and disjoint cases based on relationships of the evidence which is used to derive the solution from expert systems (ESs). Two synthesis models, Strategy1, and S...

After a basic introduction of fuzzy logic, we discuss its role in artiicial and computational intelligence. Then we present innovative applications of fuzzy logic, focusing on fuzzy expert systems, with one typical example explored in some detail. The article concludes with suggestions how artiicial intelligence and fuzzy logic can beneet from each other.

This paper presents an expert system aimed at evaluating firms and business units. It makes us of fuzzy logic and integrates financial, strategic, managerial aspects, processing both quantitative and qualitative information. Twenty-nine value drivers are explicitly taken into account and combined together via “if-then” rules to produce an output. The output is a real number in the interval [0,1...

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...

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 ...

A communication procedure for communicating scheduling expert systems based on fuzzy set theory is proposed. Fuzzy sets are used to express and to exchange constraints and their possible relaxations with other scheduling systems that can interpret these constraints. The procedure is intended to optimize the global evaluation among the communicating systems. An example from steel industry is tak...

Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...