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25 results for “fuzzy knowledge”
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Research ArticleOpen accessPhrase in the titleAdaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion ControlMbaitiga ZacharieProblem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,909 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModelling Knowledge Summarization by Evolving Fuzzy GrammarNurfadhlina Mohd Sharef, Alfian Abdul Halin, Norwati MustaphaSummarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. However, the text summary can also be produced in a visualized form, such as a chart, graph … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 10 Jun 2013 · 6,659 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Clustering Process using a Genetic Fuzzy System for the Knowledge Base of a Fuzzy Rule-Based SystemHamedoun Lamiae, Attariuas Hicham, Ben Maati Mohamed LarbiThe present paper proposes a new Hybrid clustering Process based on Fuzzy Genetic System. The proposed Approach consists of two steps: (1) Using a method called Fuzzy clustering, all data elements will be clustered into N groups; (2) utilizing a Fuzzy Genetic System, for every level the fuzzy rule of adhesion will be generated. If we compare our research to … …Journal of Computer Science, Vol. 12, Issue 12 · 6 Feb 2017 · 6,644 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Rough Set based Gene Expression Clustering AlgorithmJ. Jeba Emilyn, K. RamarProblem statement: Microarray technology helps in monitoring the expression levels of thousands of genes across collections of related samples. Approach: The main goal in the analysis of large and heterogeneous gene expression datasets was to identify groups of genes that get expressed in a set of experimental conditions. Results: Several clustering techniques have been proposed for identifying gene signatures and … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP AnalysisQuang Hung Do, Duong Quang Khanh, Nguyen Thai SonThe burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by employing a Fuzzy Analytic Hierarchy Process (FAHP) to evaluate B2C e-commerce platforms in Vietnam. The FAHP facilitates the identification of critical factors and sub-factors influencing online customer satisfaction and website selection. We leverage … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,232 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive WeightingTimothy Marcelleon, Ditdit Nugeraha UtamaIt is vital to determine the most dangerous types of trash in terms of the environment and human health. The purpose of this selection is to make readers aware of the impact of garbage on the environment. As human knowledge of the environment grows, the utilization of garbage will naturally decrease. The goal of this research is to create a … …Journal of Computer Science, Vol. 19, Issue 1 · 19 Jan 2023 · 5,604 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer DatasetOlufunke Oladipupo, Oluwole Olajide, Stephen Adubi et al.In the literature, several methods explored to analyze breast cancer dataset have failed to sufficiently handle quantitative attribute sharp boundary problem to resolve inter and intra uncertainties in breast cancer dataset analysis. In this study an Interval Type-2 fuzzy association rule mining approach is proposed for pattern discovery in breast cancer dataset. In the first part of this analysis, the … …Journal of Computer Science, Vol. 17, Issue 3 · 6 Apr 2021 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of IranElham Rahimi, Younes Shekarian, Salman Mastri Farahani et al.The Gilan-e-Gharb block is known as a prospective area for hydrocarbon resources in the form of oil, gas in deep potential and natural bitumen (Gilsonite) on the surface. Natural bitumen is not clearly detectable by geochemical or geophysical methods. Hereupon, identifying high potential areas for further exploration, attempted with the help of AHP-Fuzzy and TOPSIS methods. The comprehensive database of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 2 Mar 2020 · 7,980 accessesView PDFCite