This paper presents a new method based on ontology formation and fuzzy recognition of digital pictures.Ontology creation and document indexing are well-known bottlenecks for integrating semantic services and for the Semantic Web,and thus the new method will be able to make automatic creation of the fish geometric ontology and automatic indexing to existing Semantic Web.Fuzzy set and fuzzy recognition are used to decide wheter a new fish picture belongs to an existing training set,here with the carp as an example.Training samples are used to set up fuzzy set and membership functions.The existing way of fish ontology formation can be integrated with the new method and the existing work for fish web can be used.
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机译：New Extension of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Method Based on Cubic Pythagorean Fuzzy Environment: A Benchmarking Case Study of Sign Language Recognition Systems
机译：Correction: New Extension of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Method Based on Cubic Pythagorean Fuzzy Environment: A Benchmarking Case Study of Sign Language Recognition Systems
机译：New Fuzzy Research Study Findings Recently Were Reported by Researchers at Prince of Songkla University (Methods for Multiattribute Decision Making, Pattern Recognition and Clustering Based On T-spherical Fuzzy Information Measures)
