Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Kehinde Adewale Adesina"'
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31008- (2024)
The performance measurement of decision-making units (DMUs) can be optimised by strategically choosing the optimal input and output weights. This approach circumvents the potential complexities associated with establishing a common basis for ranking
Externí odkaz:
https://doaj.org/article/36a4deac05a0479a8d67c2e4daab21dd
Autor:
KEHINDE ADEWALE ADESINA
Publikováno v:
Fungal Territory. 4:17-22
For many decades ago, planting, harvesting, storing, transporting, distributing, and processing agricultural produce into useful products such as foods and feeds have been plagued by various contaminations and spoilages. Most often, these contaminant
Publikováno v:
Neural Computing and Applications. 33:15619-15637
The major key attributes of decision-making during emergency to de-escalate disaster, reduce fatality and prevent asset loss are time and the efficiency of the process. Decision-makers faced the challenge of accessing adequate and precise information
Autor:
Mohammad Reza Hairi Yazdi, Hong-Xia Chen, Arman Nedjati, Hong-Hua Sun, Guang-Jun Jiang, Kehinde Adewale Adesina
Publikováno v:
Soft Computing. 25:10351-10379
Multi-criteria decision-making (MCDM) methods deeply assist decision-makers in evaluating and analyzing input data as accurately as possible in the area of safety and reliability. The Technique for Order of Preference by Similarity to Ideal Solution
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 29:181-207
The fault tree analysis (FTA) is one of the important probabilistic risk assessment tools that is extensively used in different industrial applications. However, the classical FTA has been widely criticized due to its ambiguity and vagueness in findi
Publikováno v:
Neural Computing and Applications. 33:7913-7928
A conventional LASSO (least absolute shrinkage and selection operator) regression model utilizing the Pythagorean fuzzy sets in a system reliability analysis is developed. Overall, the Pythagorean fuzzy multivariate regression analysis enables decisi
Publikováno v:
Quality and Reliability Engineering International. 36:890-909
Publikováno v:
Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis ISBN: 9783030933517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7177b335ddbe4904a6672b86bd66ca
https://doi.org/10.1007/978-3-030-93352-4_7
https://doi.org/10.1007/978-3-030-93352-4_7
Autor:
KEHINDE ADEWALE ADESINA
Publikováno v:
Fungal Territory. 4
The floral source, physicochemical, microbiological, anti-nutritional and phytochemical characterization of four different honey samples obtained from different locations in Ondo State were determined. This was with the view of authenticating their n
Publikováno v:
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation ISBN: 9783030855765
In this study, the new methodology is proposed with the integration of Pythagorean fuzzy set and Bayesian structural method to deal with both objective and subjective uncertainties. The conventional decision-making tools are suffering a couple of fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1452897ec4564c1138bc769f92501a4f
https://doi.org/10.1007/978-3-030-85577-2_70
https://doi.org/10.1007/978-3-030-85577-2_70