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Fuzzy-Expert System for Investments in Winemaking
2017The 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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A Fuzzy Expert System for Network Forensics
2004The field of digital forensic science emerged as a response to the growth of a computer crime. Digital forensics is the art of discovering and retrieving information about a crime in such a way to make digital evidence admissible in court. Especially, network forensics is digital forensic science in networked environments. The more network traffic, the
Jung-Sun Kim +2 more
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A semantic fuzzy expert system for a fuzzy balanced scorecard
Expert Systems with Applications, 2009Balanced 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 system: An example in prostate cancer
Applied Mathematics and Computation, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria José de Paula Castanho +3 more
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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.
Janusz Kacprzyk, Ronald R. Yager
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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.
Stefano Bordoni +2 more
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A VLSI PARALLEL ARCHITECTURE FOR FUZZY EXPERT SYSTEMS
International Journal of Pattern Recognition and Artificial Intelligence, 1995In this paper we present a VLSI fuzzy processor whose main features are a scalable parallel architecture, and the computation of fuzzy inferences based on the α-level set theory, both of which are important in the field of intensive fuzzy computing, as in fuzzy expert systems.
ASCIA, Giuseppe, CATANIA, Vincenzo
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A collaborative fuzzy expert system for the Web
ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 1998A convergence of Internet and fuzzy logic technologies provides an opportunity for experts and end users to collaborate in developing, refining, and testing knowledge-based systems. Internet technology removes geographical and time-based restraints, and fuzzy rule bases are easier to understand and maintain.
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Fuzzy connectionist expert systems
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002Hybrid architectures for intelligent systems is a new field of artificial intelligence research concerned with the development of the next generation of intelligent systems. Current research interests in this field focus on integrating the computational paradigm of expert systems with new emergent paradigms such as neural networks, fuzzy logic, and ...
R.J. Machado, A. Freitas da Rocha
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Knowledge modelling in fuzzy expert systems
1987The majority of the current knowledge based systems/expert systems (KBS/ES), decision support systems (DSS), and management information systems (MIS) have followed the traditional pattern of dealing only with crisply defined, non-fuzzy ("hard") problem situations.
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