Book Machine Learning & Reasoning Fuzzy Logic Algoritm, Manual, Matlab, & Rapid Miner (1)
Book Machine Learning & Reasoning Fuzzy Logic Algoritm, Manual, Matlab, & Rapid Miner (2)
Book Machine Learning & Reasoning Fuzzy Logic Algoritm, Manual, Matlab, & Rapid Miner (3)
Book Machine Learning & Reasoning Fuzzy Logic Algoritm, Manual, Matlab, & Rapid Miner (4)

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Title; Machine Learning & Reasoning Fuzzy Logic Algorithm, Manual, Matlab, & Rapid Miner Author: Budy Santoso Azminuddin I. S. Azis Zohrahayaty Size: xxii, 216 pgs, Uk: 17.5x25 cm Isbn: 978-623-02-0631-3 First Print: February 2020 Synopsis: Today, the computing methods have developed more intelligently. In principle, intelligent or common computing methods are patronized by soft computing can be categorized into searching, reasoning and learning methods. Search methods represent problems into state and problem space then use search strategy to find solutions. While the reasoning methods represent problems into the knowledge base then use reasoning strategy to find solutions. The searching approach and reasoning requires that the existence of rules applicable, but sometimes rules can not always be defined properly and complete, then learning approaches are present to address these obstacles palaced with learning machines. If the searching approach in determining whether the rules are correct and complete because the problems encountered are quite complex so that a representation of problems into state becomes inefficient, then the reasoning approach with logic representation (formal language) is the solution. Originally the reasoning methods were used on problems that have certainty, what if problems contain uncertainty? Approaches such as probability theory and Fuzzy Logic are the solutions. Methods with probability approach to problems containing uncertainty are opportunities. What if the problem contains uncertainty is faint? Fuzzy Logic is the solution

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LanguageBahasa Indonesia

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