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Fuzzy multicriteria decision‐making for long cane pruning: A system for standard and complex vine configurations
Author(s) -
Tisseyre B.,
McFarlane N. J. B.,
Sinfort C.,
Tillett R. D.,
Sevila F.,
Carbonneau A.
Publication year - 1997
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(199711/12)12:11/12<877::aid-int6>3.0.co;2-u
Subject(s) - pruning , computer science , vine , section (typography) , decision model , artificial intelligence , fuzzy logic , machine learning , data mining , set (abstract data type) , operations research , mathematics , agronomy , biology , operating system , programming language , botany
Section I of this article presents the agronomic and technical purposes involved in vine pruning and the decision model used to simulate the pruner's reasoning (fuzzy multicriteria decision making). Section II describes the method used for the choice of the best aggregation operator. Section III describes the model decision which is used to make automatic decision on complex vine configurations. Section IV presents the results: the model was performed on training set made of 140 standard pruning cases, 69.4% of similarity were observed between the decision model and the expert. © 1997 John Wiley & Sons, Inc.