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Insurance fraud evaluation: a fuzzy expert system
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002All the studies dealing with the Italian insurance market show that fraud is an increasingly relevant problem in that sector. Insurance companies are trying to embed real "fraud units" into their activities, in order to identify suspicious cases and fraudulent patterns either in the insuring phase or in the settlement of claims.
BORDONI S, FACCHINETTI, Gisella
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Fuzzy expert system technology
1996Fuzzy 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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Emergency-Oriented expert systems: A fuzzy approach
Information Sciences, 1985A 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.
Kacprzyk, Janusz, Yager, Ronald R.
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A fuzzy logic system for expert systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1988Using the theory of fuzzy sets, this paper develops a fuzzy logic reasoning system as an augmentation to a rule-based expert system to deal with fuzzy information. First, fuzzy set theorems and fuzzy logic principles are briefly reviewed and organized to form a basis for the proposed fuzzy logic system.
Te-Chuan Chang +2 more
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Fuzziness and expert system generation
1987The Matrix Controlled Inference Engine (MACIE) style expert system uses a knowledge base automatically generated from a set of crisp training examples. However, when viewed from a fuzziness perspective, it is seen that the Pocket Algorithm which generates the knowledge base operates nondeterministically.
Mark Frydenberg, Stephen I. Gallant
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Expert Systems Using Fuzzy Logic
1992We show how the theory of approximate reasoning developed by L.A. Zadeh provides a natural format for representing the knowledge and performing the inferences in rule based expert systems. We extend the representational ability of these systems by providing a new structure for including rules which only require the satisfaction to some subset of the ...
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Fuzzy Logic and Expert Systems
1995The combination of fuzzy logic and expert systems is a fundamental technique flowing directly from the nature of fuzzy logic. Fuzzy expert systems are currently the most popular use of fuzzy logic with many applications now operational in a diverse range of subjects.
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1996
During the last three decades, the potential of electronic data processing (EDP) has been used to an increasing degree to support human decision making in different ways. In the 1960s, the management information systems (MISs) created probably exaggerated hopes for managers.
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During the last three decades, the potential of electronic data processing (EDP) has been used to an increasing degree to support human decision making in different ways. In the 1960s, the management information systems (MISs) created probably exaggerated hopes for managers.
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Expert Systems and Fuzzy Logic
2018An expert system is a system that employs human experience or knowledge captured in a computer to solve problems that ordinarily require human expertise. They may or may not have a learning component. Expert systems are a branch of Artificial intelligence. Truemper describes an expert system as an intelligent system which in an interactive setting asks
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Fuzzy systems and fuzzy expert control: An overview
The Knowledge Engineering Review, 1994AbstractThis paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self-organizing fuzzy ...
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