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61 articles for “fuzzy decision”
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Research ArticleOpen accessIn the abstractAssessing Potential Investment Return of Basil (Ocimum Basillicum P.) using Fuzzy Logic and Investment Analysis Criteria for Environmental-Based AgricultureHeraldo Yusron Purwantono, Ditdit Nugeraha UtamaIndonesia is one of Southeast Asia's most populous and big countries. It was well-known for its richness of natural resources. Indonesia is one of the world's largest tropical countries, because of its tropical environment. According to the statistics, however, arable land in Indonesia has declined dramatically over the years in response to increased demand for residential areas. This data reveals … …Journal of Computer Science, Vol. 18, Issue 7 · 30 Jul 2022 · 5,738 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 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 abstractIrrigation System Using Hyperspectral Data and Machnie Learning Techniques for Smart AgricultureSanthi Balachandran, Sourna Lakshmi, Nithya RajendranWater is the main resource for agriculture. Management of water in agricultural field is a challenging process. To manage the water content in the agricultural field, smart irrigation system has been proposed by using fuzzy based decision support system on Hyperspectral Image benchmark dataset. Hyperspectral images are the process of collected and processed the images from electromagnetic spectrum. Recent studies … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,683 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Risk Management Strategies for Additive Manufacturing Supply ChainsBandar Altubaishe, Jahlani Clarke, Christina McWilliams, Salil DesaiSupplier selection is an important strategic decision to be made in additive manufacturing supply chains. This paper presents a hybrid Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) algorithms-based Failure Mode and Effects Analysis (FMEA) for supplier selection in a risk-based environment. Our approach is contrasted with an FMEA based on a Fuzzy Analytic Hierarchy Process (FAHP) … …American Journal of Applied Sciences, Vol. 16, Issue 8 · 17 Oct 2019 · 8,581 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 abstractThe Architecture of Fuzzy Agent in Rescuer Monitoring SystemAzwin Hazrina Ahmad, Ahmad Kamil Mahmood, Jafreezal JaafarMalaysia is a developing country and currently experiences a new emerging safety issue, which considered as critical. Country likes Malaysia is in aggressive mission to develop its country by year 2020. In the effort to achieve developed country, it requires development in each industry. There will be more works should be done by workers in the same duration compares to … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 8 Jun 2015 · 7,604 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 abstractFUZZY RULE-BASED SYSTEM FOR AVENUE MANAGEMENTS. Prakash, C. SundarMutual Funds are becoming effective way for investors to participate in financial markets. An investor must learn to analyze and measure the risk and return of the portfolio. The performance of funds is mainly affected by characteristics such as asset size, turnover and fee structure. Investors’ highest priority lies in understanding the relation between fund performance and above properties. Currently … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 15 Feb 2014 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined Pattern Mining for D3M Using FuzzyS. S. Dhenakaran, S. MaheswariMany algorithms and models were developed but the findings are not actionable and lack of soft power while solving the complex problems. Domain Driven Data mining is used a major efforts to promote the action ability of the knowledge discovery in the real world smart decision making. Combined mining is one of the common methods for analyzing complex data for … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 1 Nov 2013 · 6,750 accessesView PDFCite