Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2024
Abstract
In today's dynamic business environment, effective decision-making plays a crucial role in the success of retail businesses and project management endeavors. This paper presents a comprehensive study of decision-making algorithms, focusing on the utilization of Double Framed Hypersoft Sets (DFHS) in retail and project management contexts. The study explores the theoretical foundations of DFHS and its practical applications in customer segmentation, personalized marketing, project selection, and resource allocation. Various algorithms and methodologies incorporating DFHS are discussed and analyzed, highlighting their advantages, limitations, and real-world implications. Through a series of numerical examples, case studies, and comparative analyses, this study provides valuable insights into the role of DFHS in optimizing decision processes, improving business outcomes, and fostering innovation in retail and project management domains.
Publication Title
HyperSoft Set Methods in Engineering
Volume
2
First Page
62
Last Page
71
Language (ISO)
English
Keywords
Soft Set, Hypersoft Set, Double Framed Hypersoft Set, Decision-making
Recommended Citation
Das, Ajoy Kanti; Florentin Smarandache; Rakhal Das; and Suman Das.
"A Comprehensive Study on Decision-Making Algorithms in Retail and Project Management using Double Framed Hypersoft Sets."
HyperSoft Set Methods in Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
