A New Hybrid Distance Based Similarity Measure For Refined Neutrosophic Sets And Its Application In Medical Diagnosis
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A New Hybrid Distance-Based Similarity Measure for Refined Neutrosophic Sets and its Application in Medical Diagnosis
| Author | : Vakkas Ulucay |
| Publisher | : Infinite Study |
| Total Pages | : 14 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : |
Download A New Hybrid Distance-Based Similarity Measure for Refined Neutrosophic Sets and its Application in Medical Diagnosis Book in PDF, Epub and Kindle
The aim of this paper is to introduce a new distance-based similarity measure for refined neutrosophic sets. The properties of the proposed new distance-based similarity measure have been studied and the findings are applied in medical diagnosis of some diseases with a common set of symptoms.
A New Hybrid Distance-Based Similarity Measure for Refined Neutrosophic Sets and its Application in Medical Diagnosis Related Books
Language: en
Pages: 14
Pages: 14
Type: BOOK - Published: - Publisher: Infinite Study
The aim of this paper is to introduce a new distance-based similarity measure for refined neutrosophic sets. The properties of the proposed new distance-based s
Language: en
Pages: 10
Pages: 10
Type: BOOK - Published: - Publisher: Infinite Study
Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In
Language: en
Pages: 306
Pages: 306
Type: BOOK - Published: - Publisher: Infinite Study
Language: en
Pages: 611
Pages: 611
Type: BOOK - Published: 2022-04-01 - Publisher: Infinite Study
“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic pro
Language: en
Pages: 219
Pages: 219
Type: BOOK - Published: 2021-06-21 - Publisher: Infinite Study
A collection of papers from multiple authors. In 2019 and 2020 Smarandache [1, 2, 3, 4] generalized the classical Algebraic Structures to NeutroAlgebraic Struct
