Brigitte Charnomordic

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Imperfect knowledge and data-based approach to model a complex agronomic feature - Application to vine vigor

Cécile Coulon-Leroy, Brigitte Charnomordic, Marie Thiollet-Scholtus, 2013 .

Learning interpretable fuzzy inference systems with FisPro

Brigitte Charnomordic, Serge Guillaume, 2011, Inf. Sci..

Fuzzy Inference Systems to Model Sensory Evaluation

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2004 .

Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem pdf

Sébastien Destercke, Brigitte Charnomordic, Serge Guillaume, 2007, Fuzzy Sets Syst..

EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk

Brigitte Charnomordic, Patrice Loisel, Guillerme Duvilli'e, 2019, 1909.07288.

Using the OLS algorithm to build interpretable rule bases: an application to a depollution problem

Sébastien Destercke, Brigitte Charnomordic, Serge Guillaume, 2007, 2007 IEEE International Fuzzy Systems Conference.

Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2012, Expert Syst. Appl..

Systèmes d'inférence floue : collaboration expertise et données dans un environnement de modélisation intégrée à l'aide de FisPro

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2013, Rev. d'Intelligence Artif..

Decision support system using flexible query and reliability assessment - application to biodegradable and biosourced packaging design

Sébastien Destercke, Brigitte Charnomordic, Patrice Buche, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Proposal for Modelling Agrifood Chains as Multi Agent Systems

Madalina Croitoru, Pascal Neveu, Brigitte Charnomordic, 2016, IPMU.

Data Reliability Assessment in a Data Warehouse Opened on the Web

Sébastien Destercke, Brigitte Charnomordic, Patrice Buche, 2011, FQAS.

Fuzzy Modeling of a Composite Agronomical Feature Using FisPro: The Case of Vine Vigor

Cécile Coulon-Leroy, Brigitte Charnomordic, Marie Thiollet-Scholtus, 2014, IPMU.

Prediction of vine vigor and precocity using data and knowledge-based fuzzy inference systems

Cécile Coulon-Leroy, Brigitte Charnomordic, Marie Thiollet-Scholtus, 2012 .

Soft computing-based decision support tools for spatial data

Brigitte Charnomordic, Serge Guillaume, Bruno Tisseyre, 2013, Int. J. Comput. Intell. Syst..

A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefinery

Sébastien Destercke, Juliette Dibie, Stéphane Dervaux, 2016, FUZZ-IEEE.

Practical Inference With Systems of Gradual Implicative Rules

Didier Dubois, Brigitte Charnomordic, Serge Guillaume, 2009, IEEE Transactions on Fuzzy Systems.

A decision support system for eco-efficient biorefinery process comparison using a semantic approach

Sébastien Destercke, Juliette Dibie, Stéphane Dervaux, 2016, Comput. Electron. Agric..

Fuzzy partitions: A way to integrate expert knowledge into distance calculations

Brigitte Charnomordic, Serge Guillaume, Patrice Loisel, 2013, Inf. Sci..

A segmentation algorithm for the delineation of agricultural management zones

Brigitte Charnomordic, Serge Guillaume, Bruno Tisseyre, 2010 .

Parameter optimization of a fuzzy inference system using the FisPro open source software

Brigitte Charnomordic, Serge Guillaume, 2012, 2012 IEEE International Conference on Fuzzy Systems.

A practical inference method with several implicative gradual rules and a fuzzy input: one and two dimensions

Didier Dubois, Brigitte Charnomordic, Serge Guillaume, 2007, 2007 IEEE International Fuzzy Systems Conference.

RESEARCH ARTICLE Two modelling approaches of wine-making: first principle and metabolic engineering

Denis Dochain, Brigitte Charnomordic, A. Vande Wouwer, 2010 .

Dealing with multi‐source and multi‐scale information in plant phenomics: the ontology‐driven Phenotyping Hybrid Information System

Pascal Neveu, Vincent Nègre, Anne Tireau, 2018, The New phytologist.

Interpretable fuzzy inference systems for cooperation of expert knowledge and data in agricultural applications using FisPro

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2010, International Conference on Fuzzy Systems.

Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse

Sébastien Destercke, Brigitte Charnomordic, Patrice Buche, 2013, IEEE Transactions on Knowledge and Data Engineering.

Two modelling approaches of wine-making: first principle metabolic and engineering

Denis Dochain, Alain Vande Wouwer, Brigitte Charnomordic, 2010 .

Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models

Sébastien Destercke, Brigitte Charnomordic, Rallou Thomopoulos, 2010, KSEM.

Knowledge discovery for control purposes in food industry databases

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2001, Fuzzy Sets Syst..

A modeling approach to design a software sensor and analyze agronomical features - Application to sap flow and grape quality relationship pdf

Brigitte Charnomordic, Nadine Hilgert, Aurélie Thébaut, 2013, ArXiv.

A numerical distance based on fuzzy partitions

Brigitte Charnomordic, Serge Guillaume, Patrice Loisel, 2011, EUSFLAT Conf..

A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from data

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2003 .

Open source software for modelling using agro-environmental georeferenced data.

Brigitte Charnomordic, Serge Guillaume, Bruno Tisseyre, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Ontology-Based Model for Food Transformation Processes - Application to Winemaking

Pascal Neveu, Brigitte Charnomordic, Patrice Buche, 2014, MTSR.

Practical use of fuzzy implicative gradual rules in knowledge representation and comparison with Mamdani rules

Didier Dubois, Brigitte Charnomordic, Serge Guillaume, 2005, EUSFLAT Conf..

A distance metric suitable for fuzzy partitioning

Brigitte Charnomordic, Serge Guillaume, André Titli, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Generating an interpretable family of fuzzy partitions from data

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2004, IEEE Transactions on Fuzzy Systems.

A generic ontological network for Agri-food experiment integration - Application to viticulture and winemaking

Pascal Neveu, Anne Tireau, Brigitte Charnomordic, 2017, Comput. Electron. Agric..

An optimisation-based approach to generate interpretable within-field zones

Brigitte Charnomordic, Hazaël Jones, Bruno Tisseyre, 2018, Precision Agriculture.

An iterative approach to build relevant ontology-aware data-driven models

Sébastien Destercke, Brigitte Charnomordic, Rallou Thomopoulos, 2012, Inf. Sci..

Fuzzy partition-based distance practical use and implementation

Brigitte Charnomordic, Serge Guillaume, S. Guillaume, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Generation of Plateau-Approximated Fuzzy Zones

Brigitte Charnomordic, Serge Guillaume, Hazaël Jones, 2016 .

Simulation and optimization software for alcoholic fermentation in winemaking conditions.

Vincent Fromion, Brigitte Charnomordic, Jean-Marie Sablayrolles, 2009 .

Within-field zoning using a region growing algorithm guided by geostatistical analysis

Brigitte Charnomordic, Bruno Tisseyre, S. Guillaume, 2013 .