A More Realistic K-Nearest Neighbors Method and Its Possible Applications to Everyday Problems

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A Problem of Ecological Dynamic Logistics

A classification and regression technique to handle heterogeneous and imperfect information

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A fuzzy K-nearest neighbor classifier to deal with imperfect data

A fuzzy random forest

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A hybrid computational intelligence approach for automatic music composition

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A semantics-driven, fuzzy logic-based approach to knowledge representation and inference

A tool to manage low quality datasets

Achieving Memetic Adaptability by Means of Agent-Based Machine Learning

scholarly article by Giovanni Acampora et al published November 2011 in IEEE Transactions on Industrial Informatics

Achieving memetic adaptability by means of fuzzy decision trees

Application of data mining methods for classification and prediction of olive oil blends with other vegetable oils.

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Application of fuzzy optimization to diet problems in Argentinean farms

Case of study: Photovoltaic faults recognition method based on data mining techniques

Classification of Failures in Photovoltaic Systems using Data Mining Techniques

Consensus operators for decision making in Fuzzy Random Forest ensemble

Construction and Debugging of a Multi-Agent Based Simulation to Study Ambient Intelligence Applications

Detecting homogeneous groups in clustering using the Euclidean distance

article published in 2001

Different Approaches for Cooperation with Metaheuristics

Extending information processing in a Fuzzy Random Forest ensemble

Feature subset selection Filter–Wrapper based on low quality data

scholarly article by Jose M. Cadenas et al published November 2013 in Expert Systems with Applications

Fundamentals for Design and Construction of a Fuzzy Random Forest

Fuzzy Discretization Process from Small Datasets

Gene Priorization for Tumor Classification Using an Embedded Method

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Imputing missing values from low quality data by NIP tool

scholarly article published July 2013

Infrastructure for Forensic Analysis of Multi-Agent Based Simulations

Intelligent Data Analysis, Soft Computing and Imperfect Data

scholarly article published 5 August 2017

Learning in a Fuzzy Random Forest ensemble from imperfect data

Measuring Data Imperfection in a Neighborhood Based Method

Memetic Music Composition

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Methodology for integrated fuel lattice and fuel load optimization using population-based metaheuristics and decision trees

NIP - An Imperfection Processor to Data Mining datasets

Nuclear fuel lattice performance analysis by data mining techniques

OFP_CLASS: a hybrid method to generate optimized fuzzy partitions for classification

Partition validity and defuzzification

Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach

The experimenter environment of the NIP imperfection processor

Towards the learning from low quality data in a Fuzzy Random Forest ensemble

scholarly article published June 2011

Using fuzzy numbers in linear programming

scientific article published on 01 January 1997