A Hybrid Fuzzy Extension and Its Application in Multi-Attribute Decision Making

Authors

DOI:

https://doi.org/10.37256/cm.5220244390

Keywords:

hypersoft set, complex q-rung linear diophantine fuzzy hypersoft set, lattice, multi-attribute decision-making

Abstract

The hypersoft set theory is an extension of soft set theory. The complex non-linear diophantine fuzzy set is a hybrid fuzzy extension that serves as a generalization of the q-rung linear diophantine fuzzy set and the complex linear diophantine fuzzy set. In this paper, to tackle multi-sub-attributed real-world situations under complex non-linear diophantine fuzzy ambiance, the concept of complex q-rung linear diophantine fuzzy hypersoft set is proposed along with its score and accuracy function. Also, the idea of lattice ordered complex q-rung linear diophantine fuzzy hypersoft set is proposed in this paper, along with some of its basic algebraic operations. Furthermore, a highly effective algorithm using lattice ordered complex q-rung linear diophantine fuzzy hypersoft set is provided for handling multi-attributed decision-making issues exquisitely, along with an illustrative example in the field of vertical farming. Then, a comparative analysis between the proposed and current notions is provided to demonstrate the superiority and benefits of the suggested concepts over the current ones.

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Published

2024-06-07

How to Cite

1.
AN. Surya, J. Vimala, Banu KA. A Hybrid Fuzzy Extension and Its Application in Multi-Attribute Decision Making. Contemp. Math. [Internet]. 2024 Jun. 7 [cited 2024 Jun. 13];5(2):2456-81. Available from: https://ojs.wiserpub.com/index.php/CM/article/view/4390