Enhancing decision-making with linear diophantine multi-fuzzy set: application of novel information measures in medical and engineering fields.

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Bibliographic Details
Title: Enhancing decision-making with linear diophantine multi-fuzzy set: application of novel information measures in medical and engineering fields.
Authors: Kannan J; Department of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India., Jayakumar V; Department of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India., Kausar N; Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Esenler, Istanbul, 34220, Turkey., Pamucar D; Széchenyi István University, Győr, Hungary. dpamucar@gmail.com., Simic V; University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010, Belgrade, Serbia.; College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Yuandong Rd., Zhongli Dist., Taoyuan City, 320315, Taiwan.; Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Source: Scientific reports [Sci Rep] 2024 Nov 18; Vol. 14 (1), pp. 28537. Date of Electronic Publication: 2024 Nov 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-79725-0