Distance measurement on intuitionistic fuzzy granular structure sets
Autor: | Weiping Yang, Shuzhen Tu, Chong Zeng, Kuangfeng Gong |
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Rok vydání: | 2019 |
Předmět: |
Relation (database)
Mathematics::General Mathematics Structure (category theory) Intuitionistic fuzzy 02 engineering and technology 01 natural sciences Measure (mathematics) Computer Science::Logic in Computer Science 0103 physical sciences Electrical and Electronic Engineering Mathematics 010302 applied physics Degree (graph theory) 021001 nanoscience & nanotechnology Condensed Matter Physics Electronic Optical and Magnetic Materials Condensed Matter::Soft Condensed Matter Algebra Mathematics::Logic TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES Distance measurement Hardware and Architecture TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS Granularity 0210 nano-technology Universe (mathematics) |
Zdroj: | Microsystem Technologies. 27:1633-1639 |
ISSN: | 1432-1858 0946-7076 |
DOI: | 10.1007/s00542-019-04460-w |
Popis: | This paper analyzes the insufficiency of the intuitionistic fuzzy information granularity that is employed to measure the granulation degree of an intuitionistic fuzzy granular structure. To address this insufficiency, the distance of intuitionistic fuzzy granular structure is presented to measure the difference between two intuitionistic fuzzy granular structures in the same universe. By demonstrating the theorem and analyzing the examples, the proposed distance of intuitionistic fuzzy granular structure is proven to be rational. Finally, by using the partial order relation, properties of intuitionistic fuzzy granular structure are investigated. |
Databáze: | OpenAIRE |
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