Analysis and Design of Intelligent Systems Using Soft Computing Techniques
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The first € price and the £ and $ price are net prices, subject to local VAT, and the €(D) includes 7% for Germany, the€(A) includes 10% for Austria.Abstract:
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted. P. Melin, O. Castillo, E.G. Ramírez, W. Pedrycz (Eds.) Analysis and Design of Intelligent Systems Using Soft Computing Techniquesread more
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Journal ArticleDOI
Gear crack level identification based on weighted K nearest neighbor classification algorithm
Yaguo Lei,Ming J. Zuo +1 more
TL;DR: In this paper, a two-stage feature selection and weighting technique (TFSWT) via Euclidean distance evaluation technique (EDET) is presented and adopted to select sensitive features and remove fault-unrelated features.
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The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
TL;DR: The collapsing method converts an interval type-2 fuzzy set into a type-1 representative embedded set (RES), whose defuzzified values closely approximates that of the type- 2 set.
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An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms
TL;DR: An optimization method is proposed for designing type-2 fuzzy inference systems based on the footprint of uncertainty (FOU) of the membership functions, considering three different cases to reduce the complexity problem of searching the parameter space of solutions.
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Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms
TL;DR: A comparative study between fuzzy inference systems as methods of integration in modular neural networks for multimodal biometry based on techniques of type-1 fuzzy logic and type-2 fuzzy logic.
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An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation
TL;DR: The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.