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The purpose of this paper is to present a performance comparison of expert systems with production rules, based on classical binary logic and fuzzy logic, for feedback control of dynamic systems. The expert system based on binary logic, called ES-PR-BL, was developed in Prolog language, and the system based on fuzzy logic, called ES-PR-FL, was implemented using a Mamdani type inference process. The...
Bousi~Prolog is a fuzzy logic programming language whose main objective is to make flexible the query answering process. Its operational mechanism is a extension of the SLD-resolution (called weak resolution) where the classical syntactic unification algorithm has been replaced by a fuzzy one. This paper presents a generic method for the unification of linguistic terms (i.e. fuzzy sets) which is also...
This article presents the implementation of a Shell for the development of Fuzzy Specialist Systems. This Shell is being developed using the C++ and Visual Prolog languages. It allows the creation of a group of fuzzy rules. The Visual Prolog language is being used for the implementation of the inference engine. The C ++ is being used for the development of user interface, which is the creation of...
Fault diagnosis in digital hardware using AI techniques is good domain for basic and applied research. An intelligent frame work for fault detection and isolation in Philips 89v52 RD2 microcontroller based system is discussed in this paper. The main feature includes intelligent diagnostic assessment and effective management of the testing process using fuzzy approaches. Fuzzy modeling is used to derive...
Incomplete information is a problem in many aspects of actual environments. Furthermore, in many sceneries the knowledge is not represented in a crisp way. It is common to find fuzzy concepts or problems with some level of uncertainty. There are not many practical systems which handle fuzziness and uncertainty and the few examples that we can find are used by a minority. To extend a popular system...
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