Results 311 to 320 of about 146,509 (347)
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Fuzzy Inference System Based on Fuzzy Associative Memory
Journal of Intelligent & Fuzzy Systems, 1997Afuzzy rule-based system, widely used in the areas of control and pattern recognition, is mostly structured into inference mechanism and fuzzy rules expressed in terms of fuzzy sets. In this paper, we provide a general framework for fuzzy inference, which consists of a learning part and an inferring part.
Dae-Sik Jang, Hyung-Il Choi
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Dynamic Neural Fuzzy Inference System
2009This paper proposes an extension to the original offline version of DENFIS. The new algorithm, DyNFIS, replaces original triangular membership function with Gaussian membership function and use back-propagation to further optimizes the model. Fuzzy rules are created for each clustering centre based on the clustering outcome of evolving clustering ...
Yuan-Chun Hwang, Qun Song 0002
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Fuzzy Inference System for Multiuser Detection in CDMA Systems
IEICE Transactions on Communications, 2006In this letter, multi user detection process in Code Division Multiple Access (CDMA) is performed by fuzzy inference system (FIS) and the bit error rate (BER) performance was compared with the single user bound, the matched filter receiver and neural network receiver.
IŞIK, Yalçın, Taspinar, Necmi
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Diagnosis of Arthritis Through Fuzzy Inference System
Journal of Medical Systems, 2010Expert or knowledge-based systems are the most common type of AIM (artificial intelligence in medicine) system in routine clinical use. They contain medical knowledge, usually about a very specifically defined task, and are able to reason with data from individual patients to come up with reasoned conclusion.
Sachidanand Singh +3 more
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Sparse distributed fuzzy inference systems
Soft Computing, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy inference systems and their applications
Cybernetics and Systems Analysis, 2013The paper addresses the construction of fuzzy systems of the specification of processes of diagnosis and treatments of fuzzy inference, as well as new formulations and methods for solving problems in fuzzy models. In particular, approaches to the solution of classical probabilistic problems for fuzzy events are proposed.
A. I. Provotar +2 more
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Inference Optimization Approach in Fuzzy Inference Systems
2008 Electronics, Robotics and Automotive Mechanics Conference, 2008This paper tries on the representation of Mamdani kind fuzzy inference systems by means of fuzzy association equations.The methodology is described to represent the control system modeled on fuzzy rules, in a system outlined by equations and inequations.
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On Inference Mechanisms of Fuzzy-Probabilistic Inference Systems
Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and ApplicationsThis work studies the inference mechanism of fuzzy--probabilistic inference systems (FPIS), a class of rule-based models where antecedents encode fuzzy information and consequents represent conditional probability distributions of the output variable. A system of m rules is considered: if the input belongs to a fuzzy set $A_k$, then the output follows ...
Cao, Nhung +2 more
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Fuzzy inference systems and their applications
2022Η παρούσα διπλωματική εργασία είναι το αποτέλεσμα της ερευνητικής μου εργασίας στο πλαίσιο της επέκτασης της κλασικής λογικής στην λογική πολλαπλών τιμών. Οι βασικές έννοιες που διερευνήθηκαν είναι: κλασική άρνηση, ασαφής άρνηση, κλασική σύζευξη, ασαφής σύζευξη, κλασική διάζευξη, ασαφής διάζευξη, συνεπαγωγή, ασαφής συνεπαγωγή, θεωρία δυνατοτήτων ...
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Fuzzy situational inference for expert systems with fuzzy logic
Kybernetika, 1992Summary: The fuzzy logic inference method for decision making in expert systems of special class called situational is proposed. Decision inference in such systems is based on fuzzy classification of fuzzy input situation by comparison of its representation which describes the present (current) state of a controlled system.
A. N. Melikhov +2 more
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