On the Use of Lattice OWA Operators in Image Reduction and the Importance of the Orness Measure

DOI10.1007/978-3-319-40596-4_52zbMath1452.68256OpenAlexW2483193424MaRDI QIDQ5115757

Edurne Barrenechea, Humberto Bustince, Daniel Paternain, Gustavo Ochoa, Inmaculada Lizasoain, Radko Mesiar

Publication date: 18 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40596-4_52

zbMATH Keywords

image reductionornesslattice OWA operators

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Orness for idempotent aggregation functions

Cites Work

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• Construction of image reduction operators using averaging aggregation functions
• Aggregation functions on bounded partially ordered sets and their classification
• A fuzzy mathematical morphology based on discrete t-norms: fundamentals and applications to image processing
• Triangular norms on product lattices
• Families of OWA operators
• OWA operators defined on complete lattices
• Fuzzy transforms: theory and applications
• F-transform in View of Aggregation Functions
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images
• Image Reduction Using Means on Discrete Product Lattices

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