التفاصيل البيبلوغرافية
| العنوان: |
Exploring Neutrosophic Linear Programming in Advanced Fuzzy Contexts. |
| المؤلفون: |
Tripathi, Shubham Kumar, Dey, Arindam, Broumi, Said, Ranjan, Kumar |
| المصدر: |
Neutrosophic Sets & Systems; 2024, Vol. 66, p170-184, 15p |
| مصطلحات موضوعية: |
LINEAR programming, SET theory, MEMBERSHIP functions (Fuzzy logic), TRAPEZOIDS, HEISENBERG uncertainty principle, DECISION making, FUZZY sets |
| مستخلص: |
A neutrosophic set is a mathematical framework that extends fuzzy and intuitionistic sets to handle indeterminate or contradictory information using three components: truth, falsity, and indeterminacy -membership degrees which deal with handling indeterminate, imprecise, and uncertain data, while Extended Fuzzy Theory extends the standard fuzzy set theory to manage more intricate membership degrees. The primary objective of this review is to thoroughly investigate and summarize the existing literature on trapezoidal neutrosophic environments, particularly focusing on aspects such as the NFMOLP Problems in SVTpN environments. Ultimately, this comprehensive review article aims to enhance the understanding of the potential of these integrated methodologies for effectively presenting decision-making amidst complex and uncertain conditions. [ABSTRACT FROM AUTHOR] |
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