#3744. Improved q-rung orthopair fuzzy line integral aggregation operators and their applications for multiple attribute decision making

September 2026publication date
Proposal available till 08-06-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Artificial Intelligence;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №3744.1 Contract №3744.2 Contract №3744.3 Contract №3744.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
The q-rung orthopair fuzzy line integral (q-ROFLI) operator is a potent mathematical tool to aggregate non-standard fuzzy information in the process of Decision Making. In this paper, we present a novel definition of q-ROFICs. Based on this notion, we give a completed definition for q-ROFLI. Furthermore, we give a Newton–Leibniz formula through the q-rung orthopair fuzzy function with the variable upper limit (VUL-q-ROFF), and investigate the intermediate value theorem which can be utilized to solve generalized mean value theorem. As their applications, we give several examples to show the process for aggregating q-rung orthopair fuzzy data by these operators.
Keywords:
Aggregation operator; Multi-attribute decision making; Non-standard fuzzy sets; q-rung orthopair fuzzy line integrals

Contacts :
0