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14 results for “fuzzy linguistic”
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Research ArticleOpen accessEvery word in the titleMining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic ThresholdsTzung-Pei Hong, Ming-Jer Chiang, Shyue-Liang WangWorld-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous amounts of use, efficient and effective web retrieval has become a very important research topic in this field. Techniques of web mining have thus been requested and developed to … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,397 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Parametric Deduction for Material Removal Rate OptimizationTian-Syung LanProblem statement: A general optimization scheme without equipment operations for CNC (computer numerical control) finish turning is deemed to be necessarily developed. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the Material Removal Rate (MRR) based on L9(34) orthogonal array. Twenty-seven fuzzy control rules … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsConstruction of Control Charts Using Fuzzy Multinomial QualityV. Amirzadeh, M. Mashinchi, M.A. YaghoobiControl charts are the simplest type of on-line statistical process control techniques. One of the basic control charts is P-chart. In classical P-charts, each item classifies as either "nonconforming" or "conforming" to the specification with respect to the quality characteristic. In practice, one may classify each item in more than two categories such as "bad", "medium", "good", and "excellent". Based … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaLucky Christopher Chen, Nurcahyo Wibowo, Ditdit Nugeraha UtamaFood crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region’s agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 6,501 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 abstractA Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaDitdit Nugeraha Utama, Alvali Zaqi Taufan, Al Ghifari Hartzani et al.Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,504 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeling for Multi-Label Text Classification Supported by Classification AlgorithmsBeatriz Wilges, Gustavo Mateus, Silvia Nassar et al.The ever-increasing amount of information on the Web is organized in structured, semi-structured and unstructured data. Text classification systems, capable of handling such different structures, may facilitate the work of important tasks such as indexation and information retrieval in search engines. The objective of this research is to develop a method for the classification of documents into multiple categories with … …Journal of Computer Science, Vol. 12, Issue 7 · 22 Aug 2016 · 7,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODELING AND SIMULATION OF FUZZY BASED AUTOMATIC INSULIN DELIVERY SYSTEMSunithaKarnam Anantha, Senthil Kumar Natarajan, Subransu Sekar DashThe aim is to design a complete online, automatic, intelligent and independent insulin delivery system. The proposed system calculates the amount of insulin by formulation based upon two linguistic factors i.e. weight and blood glucose levels. These factors have been used to develop a rule based fuzzy system in LabVIEW. The fuzziness brings a better regulation into the regime than … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Development of Expert Mood Identifier System using Fuzzy Logic on Blackberry PlatformOctavia George, Maria Gorethi, Syerra Riswandi, Widodo BudihartoIn our daily life, deciding what caused the bad mood is not easy. This study will design an Expert Mood Identifier System for mobile application. We propose a model that uses 6 variables as the inputs, they are intensity of Sleep (SL), intensity of Eat (ET), hours of using Phone (PH), Spare Time (ST), intensity of Sensitive (SN), intensity of … …Journal of Computer Science, Vol. 9, Issue 6 · 3 Jun 2013 · 7,003 accessesView PDFCite
Research ArticleOpen accessIn the abstractParametric Deduction Optimization for Surface RoughnessTian-Syung LanProblem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry. Approach: In this study, four parameters (cutting depth, feed … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,440 accessesView PDFCite