Search Results - "fuzzy rule"

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  1. 1

    On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models by Tay, Kai Mei, Chee, Peng Lim

    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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  2. 2

    Optimization of fuzzy rules design using genetic algorithm by Wong, S.V., Hamouda, A.M.S.

    Published 2000
    “…Fuzzy rules optimization is a crucial step in the development of a fuzzy model. …”
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  3. 3

    Fuzzy rules reduction using rough set approach by Yusof, Norazah, Hamdan, Abdul Razak

    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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  4. 4

    Classifying modality learning styles based on Production-Fuzzy Rules by Rahmah, Mokhtar, Siti Norul Huda, Sheikh Abdullah, Nor Azan, Mat Zin

    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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  5. 5

    A New Monotonicity Index for Fuzzy Rule-based Systems by Lie, Meng Pang, Kai, Meng Tay, Chee, Peng Lim

    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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    Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System by Tay, Kai Meng, Liew, Meng Pang, Chee, Peng Lim

    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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  11. 11

    Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test by Yi, Wen Kerk, Liew, Meng Pang, Kai, Meng Tay, Chee, Peng Lim

    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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  12. 12

    Extracting features for the linguistic variables of fuzzy rules using hidden Markov model by Suliman, Azizah, Sulaiman, Md. Nasir, Othman, Mohamed, O. K. Rahmat, Rahmita Wirza

    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 by Wong, S.V, Hamouda, A.M.S

    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 by Tay, Kai Meng, Liew, Meng Pang, Tze, Ling Jee

    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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  17. 17

    Fuzzy Rules Optimization in Fuzzy Expert System for Machinability Data Selection: Genetic Algorithms Approach by Wong, Shaw Voon, Salem Hamouda, Abdel Magid

    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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  18. 18

    An ontological framework for information extraction using fuzzy rule-based system and word sense disambiguation by Zaman, Gohar

    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 by Bahrami, Saeed

    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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