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35 results for “Fuzzy Evaluation”
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Research ArticleOpen accessIn the abstractA Fuzzy Clustering Based Method for the Spatio-Temporal Data AnalysisAnahita Zolghadr, Afsaneh JalalianSpatiotemporal data is a type of data that is collected by the sensors. This type of data has two spatial and temporal dimensions. There are many challenges in analyzing spatiotemporal big data. Common evaluation metrics of clustering methods are not appropriate for spatiotemporal data. Previous clustering methods and the conventional evaluation metrics are efficient for data like time series with … …Journal of Computer Science, Vol. 18, Issue 6 · 13 Jun 2022 · 5,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Model for Heart Disease Classification and CategorizationSrikanth Meda, Raveendrababu BhogapathiProgressions in the coordination among the machine learning algorithms, helped to achieve high accuracy and reliability in decision-making systems. Due to the impact and importance of heart diseases in real life, designing the efficient heart disease prediction model become a pivotal aspect today. Former research scholars applied the popular supervised machine learning models like Decision Trees, Naïve Bayes, ANN's, and … …Journal of Computer Science, Vol. 18, Issue 4 · 19 Apr 2022 · 6,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractMapping of Flood Risk Zones in Ala River Basin Akure, NigeriaOlajire Olabanji Olatona, O.A. Obiora-Okeke, J.R. AdewumiFloods are water induced disasters that lead to temporary inundation of dry land and cause serious damages in the affected location such as loss of lives and properties and destruction of infrastructures. Nigeria has experienced a lot of flood incidences and the impact of flood has also increased due to population growth coupled with uncontrolled developmental practices. The result of … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 7 Feb 2018 · 9,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing of the Competitiveness Level in the Industry using the Correlation Analysis on the Example of Agriculture of the Republic of Tatarstan, Russian FederationSvetlana Fanilevna Khasanova, Aigyl Ilshatovna FazullinaThis study presents the results of evaluation of the competitiveness of farmers and the agricultural sector in the region as a whole. Traditional approach of estimating monopolization level uses Herfindahl-Hirshman and Lerner indexes. But this methods not applicable in case of inhomogeneity of product in industry or when firms manufacture different type of products. The evaluation was performed by using … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 1 · 26 Mar 2015 · 7,467 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARISON OF STEPWISE AND FUZZY MULTIPLE REGRESSION ANALYSIS TECHNIQUES FOR MANAGING SOFTWARE PROJECT RISKS: ANALYSIS PHASEAbdelrafe Elzamly, Burairah HussinRisk is not always avoidable, but it is controllable. The aim of this study is to identify whether those techniques are effective in reducing software failure. This motivates the authors to continue the effort to enrich the managing software project risks with consider mining and quantitative approach with large data set. In this study, two new techniques are introduced namely … …Journal of Computer Science, Vol. 10, Issue 9 · 22 Apr 2014 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractSOFT COMPUTING APPROACH TO PREDICT INTRACRANIAL PRESSURE VALUESMario VersaciThe estimation and the prediction of the values related to the Intracranial Pression (ICP) represents an important step for the evaluation of the compliance of the human brain, above all in those cases in which the increase of the ICP values determines high risk conditions for the patient. The regular therapy is neuro-surgical but, waiting for it, it is needed … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 7 Mar 2014 · 6,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID INTELLIGENT MODEL FOR SOFTWARE COST ESTIMATIONWei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny HoAccurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In this study, a hybrid intelligent model combining … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,745 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 abstractA Fuzzy Petri-Net Based Conceptual Model for Risk Prediction in Enterprise Resource Planning Acquisition Decisions for Small and Medium EnterprisesVijayakumar Bharathi, Dhanya Pramod, Ramakrishnan RamanThis study identifies and evaluates certain critical pitfalls in the acquisition phase of ERP adoption in Small and Medium Enterprises (SMEs) and develops a model for evaluating the risk of failure. On the acquisition stage a set of risks has been identified based on past research work and each of these risks have been explained through a set of well-defined … …Journal of Computer Science, Vol. 9, Issue 1 · 18 Mar 2013 · 7,073 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Clustering Based Exposition to Multiple Dictionary Bag of WordsK. S. Sujatha, B. VinodObject classification is a highly important area of computer vision and has many applications including robotics, searching images, face recognition, aiding visually impaired people, censoring images and many more. A new common method of classification that uses features is the Bag of Words approach. In this method a codebook of visual words is created using various clustering methods. For increasing … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,389 accessesView PDFCite