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A fuzzy expert system for site characterization

Expert Systems with Applications, 2003
Abstract Remediation selection expert system (RSES) is a rule-based expert system which is used for the selection of remediation techniques for petroleum contaminated sites. In this paper, we describe a fuzzy logic-based subsystem: site characterization subsystem (SCSS).
Zhiying Hu 0001   +2 more
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Fuzzy expert system technology

1996
Fuzzy expert systems are the second generation expert systems. In real world activities, system states have various attributes that at best could be assessed as a matter of degree. If we express our knowledge of system states in terms of an all or nothing paradigm then much valuable information does not appear in system's models. However, if we express
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A formal specification for a fuzzy expert system

Information and Software Technology, 2003
Abstract 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.
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Belief updating in a fuzzy expert system

International Journal of Intelligent Systems, 1990
We argue that with the addition of a rule-ranking procedure, our fuzzy expert system FLOPS can correct previous conclusions given new, possibly conflicting, information.
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Managing uncertainty in a fuzzy expert system

International Journal of Man-Machine Studies, 1988
The paper deals with the uncertainty and ambiguity modelling in expert systems. It is shown that the uncertainty can be specified as confidence values of fuzzy sets representing the ambiguities included into an expert system. The general methods of the uncertainty processing are more specified in the second part of the paper where the memory ...
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Exploiting Fuzzy Expert Systems in Cardiology

2013
This paper presents a Sugeno-type Fuzzy Expert System (FES) designed to help mostly Cardiologists and General Practitioners in taking decisions on the most common cardiological clinical dilemmas. FES is separated in five sub-systems; Coronary Disease, Hypertension, Atrial Fibrillation, Heart Failure and Diabetes, covering a wide range of Cardiology ...
Efrosini Sourla   +5 more
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A semantic fuzzy expert system for a fuzzy balanced scorecard

Expert Systems with Applications, 2009
Balanced scorecard is a widely recognized tool to support decision making in business management. Unfortunately, current balanced scorecard-based systems present two drawbacks: they do not allow to define explicitly the semantics of the underlying knowledge and they are not able to deal with imprecision and vagueness.
Fernando Bobillo   +3 more
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Fuzzy Expert Systems

2005
In this chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model design through to final system evaluation will be presented. The current state-of-the-art of fuzzy modelling can be summed up informally as “anything goes”.
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Fuzzy-Expert System for Investments in Winemaking

2017
The paper presents an expert system dedicated to investment decisions in winemaking. The system was implemented in two versions: a Matlab fuzzy inference system, which is illustrated for the calculus of the feasibility and a standalone application illustrated for the calculus of the costs, which was developed with the help of a new visual fuzzy-expert ...
Marius M. Balas   +2 more
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Emergency-Oriented expert systems: A fuzzy approach

Information Sciences, 1985
A class of emergency-oriented expert systems is studied in the setting of fuzzy sets. Some implications resulting from the emergency orientation of the expert system are clearly underlined. The role of fuzzy sets and their utilization in coping with uncertainty present in underlying elements of the system (e.g.
Janusz Kacprzyk, Ronald R. Yager
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