Search Results - subject:"Optimization problem"

The challenges of IoT-based applications in high-risk environments, health and safety industries in the Industry 4.0 era using decision-making approach

He, Yiqun; He, Jun; Wen, Nannan - In: Journal of innovation & knowledge : JIK 8 (2023) 2, pp. 1-12

High-risk companies have to deal with problems related to the environment, health, and safety (EHS) since the products of such companies create serious challenges to environmental safety. The presence of various similar and dissimilar risk factors in these companies complicates the known and...

Persistent link: https://www.econbiz.de/10014388569

Fuzzy topsis method of learning methods selection for the development of time management skills among employees of IT companies

Zhylinska, Oksana; Pavlenko, Nadiia - In: Baltic Journal of Economic Studies 9 (2023) 4, pp. 103-110

Persistent link: https://www.econbiz.de/10015141973

Conic optimization with applications in finance and approximation theory

Kirschner, Felix - 2023

Persistent link: https://www.econbiz.de/10014301389

Capturing the effect of the COVID-19 pandemic outbreak on the financial performance disparities in the energy sector : a hybrid MCDM-based evaluation approach

Makki, Anas A.; Alqahtani, Ammar Y. - In: Economies : open access journal 11 (2023) 2, pp. 1-21

The COVID-19 pandemic has impacted the financial performance of companies in different sectors. One of the most important sectors affected is the energy sector. Therefore, this research study aims to conduct a financial performance evaluation of companies in the Saudi energy sector in 2019,...

Persistent link: https://www.econbiz.de/10014230722

Soft power effect on long-term buyer-seller relationship : a fuzzy multi-criteria decision-making approach and evidence from the Turkish smartphone sector

Çolak, Haldun; Lezki, Şenay - In: Journal of business-to-business marketing 30 (2023) 3, pp. 237-255

Persistent link: https://www.econbiz.de/10014454757

Sustainable supplier selection through multi-criteria decision making (MCDM) approach : a bibliometric analysis

Khulud, Khoiron; Masudin, Ilyas; Zulfikarijah, Fien; … - In: Logistics 7 (2023) 4, pp. 1-21

Background: The primary objective of this study was to examine the advancements in sustainable supplier selection through multi-criteria decision making (MCDM) from the years 2013 to 2022. In the recent past, researchers have carried out a significant amount of research in this field over the...

Persistent link: https://www.econbiz.de/10014454779

A new intuitionistic fuzzy correlation coefficient approach with applications in multi-criteria decision-making

Bajaj, Jyoti; Kumar, Satish - In: Decision analytics journal 9 (2023), pp. 1-15

The Intuitionistic Fuzzy Set (IFS) is a powerful extension of Fuzzy Set (FS) used to handle vagueness and uncertainty. The correlation coefficient is an established tool for finding the strength of relationships between two IFSs. This study proposes a new approach for finding a correlation...

Persistent link: https://www.econbiz.de/10014532457

An integrated machine learning and MARCOS method for supplier evaluation and selection

Abdulla, Ahmad; Baryannis, George; Badi, Ibrahim - In: Decision analytics journal 9 (2023), pp. 1-11

Evaluating and selecting suitable suppliers involves several criteria, making it a complex and difficult problem for decision-makers. Several approaches have been developed to help achieve the best possible results for selecting the most suitable suppliers. Traditionally, multi-criteria...

Persistent link: https://www.econbiz.de/10014532525

Picture fuzzy entropy : a novel measure for managing uncertainty in multi-criteria decision-making

Kumar, Ria; Bisht, Dinesh C. S. - In: Decision analytics journal 9 (2023), pp. 1-9

Entropy plays a vital role within fuzzy set theory as it quantifies the level of uncertainty present in the data. This study proposes a novel entropy measure tailored for Picture Fuzzy Sets (PIFS). This entropy measure is formulated based on the axioms developed for PIFS entropy, ensuring its...

Persistent link: https://www.econbiz.de/10014532597

A novel Hybrid Exhaustive Search and data preparation technique with multi-objective Discrete Hopfield Neural Network

Alway, Alyaa; Nur Ezlin Zamri; Mohd. Asyraf Mansor; … - In: Decision analytics journal 9 (2023), pp. 1-13

The primary objective in building predictive analytics models is to achieve optimal accuracy with real datasets. The limitations of existing models lie in their storage capacity, which hinders the progress of generating high accuracy. When a model storage capacity is limited, it may struggle to...

Persistent link: https://www.econbiz.de/10014533145