Zobrazeno 1 - 10
of 4 179
pro vyhledávání: '"multi attribute decision making"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 824-843.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-05-2024-0211
Autor:
Khalili-Fard, Alireza, Tavakkoli-Moghaddam, Reza, Abdali, Nasser, Alipour-Vaezi, Mohammad, Bozorgi-Amiri, Ali
Publikováno v:
Journal of Modelling in Management, 2024, Vol. 19, Issue 5, pp. 1404-1433.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-09-2023-0214
Autor:
Amanta Al Fath Farisy Kusuma, Muttaqie Teguh, Prabowo Aditya Rio, Sukanto Heru, Tampubolon Biatna Dulbert, Do Quang Thang, Djordjevic Branislav, Baek Seung Jun
Publikováno v:
Curved and Layered Structures, Vol 11, Iss 1, Pp 106868-79 (2024)
This study presents the results of a numerical analysis of the response of Domex 700 and Dormex 1100 steel plates with varying geometries, combined with several different parameters such as a thickness of up to 6 mm and a trinitrotoluene (TNT) mass.
Externí odkaz:
https://doaj.org/article/646bcad54bee46ce81cd69fd90d5ef03
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract In recent years, the study of q-rung orthopair fuzzy graphs (or q-ROFGs) has gained significant attention due to their ability to model complex and uncertain relationships. One crucial aspect in analyzing such graphs is the computation of th
Externí odkaz:
https://doaj.org/article/4c8fe332d02744188641f4ff22bec2af
Autor:
Mijanur Rahaman Seikh, Arnab Mukherjee
Publikováno v:
Transactions on Fuzzy Sets and Systems, Vol 3, Iss 2, Pp 108-127 (2024)
As the digital landscape continues to evolve, the selection of an appropriate online shop-ping platform has become increasingly crucial for both consumers and businesses. This paper introduces a novel approach that combines the Fermatean fuzzy set th
Externí odkaz:
https://doaj.org/article/eddb81b0a5424e55aa31a350bd80fb9f
Autor:
He Qinling, Zhang Wei
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 315-332 (2024)
In the era of big data, efficient classification of rapidly growing data volumes is a critical challenge. Traditional algorithms often fall short in handling the scale and complexity of big data, leading to inefficiencies in classification accuracy a
Externí odkaz:
https://doaj.org/article/8e3a57017ac04c50bf0d98fedcfdf1e3
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27167-27204 (2024)
Identifying the most optimal wearable health technology devices for hospitals is a crucial step in emergency decision-making. The multi-attribute group decision-making method is a widely used and practical approach for selecting wearable health techn
Externí odkaz:
https://doaj.org/article/d020d41026a948499143f458d1e6abf1
Autor:
Feng Jianjie
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 917-26 (2024)
In the investment risk assessment of green finance (GF) projects, the application of multi-attribute perceptual fuzzy information decision technology is taken as the main research object. With the promotion of the concept of environmental protection
Externí odkaz:
https://doaj.org/article/ac7ee1fb6f844c03a562935463344b70
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Bioremediation techniques, which harness the metabolic activities of microorganisms, offer sustainable and environmentally friendly approaches to contaminated soil remediation. These methods involve the introduction of specialized microbial
Externí odkaz:
https://doaj.org/article/152a67a2c0f5487983b6010e22f20f60
Treatment of cancer patients by generalizing a Fermatean normal vague set with aggregation operators
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40252- (2024)
Multi-attribute decision-making problems can be solved using a Fermatean vague set. Fermatean vague sets are extension of vague sets. We initiated generalized Fermatean vague weighted averaging, generalized Fermatean vague weighted geometric, power g
Externí odkaz:
https://doaj.org/article/a1fe39d7bb9e4f99a11ba1c9ee0983b0