Learning interpretable fuzzy inference systems with FisPro
نویسندگان
چکیده
منابع مشابه
FisPro : An open source portable software for fuzzy inference systems
FisPro also allows the complete design of a fuzzy inference system from the numerical data related to the problem under study. Many automatic learning methods unfortunately lead to "black box" systems. In FisPro, constraints are imposed to the algorithms to make the reasoning rules easy to interpret([16]), so that the user understands how the fuzzy system operates. This novel approach is one of...
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Many studies on modeling of fuzzy inference systems have been made. The issue of these studies is to construct automatically fuzzy inference systems with interpretability and accuracy from learning data based on metaheuristic methods. Since accuracy and interpretability are contradicting issues, there are some disadvantages for self-tuning method by metaheuristic methods. Obvious drawbacks of t...
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The present paper aims to demonstrate the interest of fuzzy inference systems in system modeling when human interaction is important. It discusses the originality of FIS and their capability to integrate expertise and rule learning from data into a single framework, analyzing their place relatively to concurrent approaches. An open source software implementation is presented, with a focus on th...
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In this paper we turn the attention to a well developed theory of fuzzy/lin-guis-tic models that are interpretable and, moreover, can be learned from the data.We present four different situations demonstrating both interpretability as well as learning abilities of these models.
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2011
ISSN: 0020-0255
DOI: 10.1016/j.ins.2011.03.025