Search Results - "fuzzy rule"
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On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models
Published 2009“…In this paper, we investigate the use of fuzzy rule interpolation techniques for monotonicity relating fuzzy inference system (FIS). …”
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Optimization of fuzzy rules design using genetic algorithm
Published 2000“…Fuzzy rules optimization is a crucial step in the development of a fuzzy model. …”
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Fuzzy rules reduction using rough set approach
Published 2003“…This paper presents the use of Rough Set approach to compute reducts and generate concise fuzzy rules from a fuzzy rule base system of a student model. …”
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Classifying modality learning styles based on Production-Fuzzy Rules
Published 2011“…The results show that Production - Fuzzy Rule is the better technique when compared to Naives Bayes in user's modality learning style prediction.…”
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A New Monotonicity Index for Fuzzy Rule-based Systems
Published 2014“…We add noise as errors into the fuzzy rule base to formulate a set of non-monotone fuzzy rules. …”
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Explain the world --- towards leveraging causality in fuzzy rule based systems
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Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System
Published 2016“…To maintain the monotonicity property of a fuzzy inference system, a monotonically-ordered and complete set of fuzzy rules is necessary. However, monotonically-ordered fuzzy rules are not always available, e.g. errors in human judgements lead to non-monotone fuzzy rules. …”
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Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test
Published 2016“…Previously, we have proposed a single-input Monotone-Interval FIS (MI-FIS) model, which can handle incomplete and non-monotone fuzzy rules. Besides that, we have proposed the idea of a monotone test (MT) for a set of fuzzy rules, which give an indication pertaining to the degree of monotonicity of a fuzzy rules set. …”
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Extracting features for the linguistic variables of fuzzy rules using hidden Markov model
Published 2007“…Experimental results from a few sample images show that the proposed technique is both effective and efficient to be used in extracting features for the linguistic variables of fuzzy rules.…”
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Development of genetic algorithm-based fuzzy rules design for metal cutting data selection
Published 2002“…Fuzzy rules optimization is always a problem for a complex fuzzy model. …”
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A New Framework With Similarity Reasoning and Monotone Fuzzy Rule Relabeling for Fuzzy Inference Systems
Published 2013“…In this paper, a new monotone fuzzy rule relabeling technique to relabel a non-monotone fuzzy rule base provided by domain experts is proposed. …”
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Fuzzy Rules Optimization in Fuzzy Expert System for Machinability Data Selection: Genetic Algorithms Approach
Published 2001“…Fuzzy logic is a good approach to solve such problems. Fuzzy rules optimization is always a problems for a complex fuzzy rules from more than 10 thousand combinations. …”
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An ontological framework for information extraction using fuzzy rule-based system and word sense disambiguation
Published 2021“…To address this issue, an Ontological Framework for IE (OFIE) using a fuzzy rule-based system (FRBS) and an efficient word sense disambiguation (WSD) technique is proposed in this research. …”
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Fuzzy rule-based approach with z-numbers in solving group multi-attribute decision making problems
Published 2021“…Among different fuzzy methods, fuzzy rule- based system (FRBS) due to its flexibility, simplicity, and experts' knowledge modeling is an adequate technique to solving MADM problems. …”
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