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CAAI Transactions on Intelligence Technology
Article . 2023 . Peer-reviewed
License: CC BY NC
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Article . 2025
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Analysis of TOPSIS techniques based on bipolar complex fuzzy N‐soft setting and their applications in decision‐making problems

Authors: Tahir Mahmood 0002; Ubaid ur Rehman 0001; Zeeshan Ali 0006; Izatmand Haleemzai;

Analysis of TOPSIS techniques based on bipolar complex fuzzy N‐soft setting and their applications in decision‐making problems

Abstract

Abstract A novel model termed a bipolar complex fuzzy N‐soft set (BCFN‐SS) is initiated for tackling information that involves positive and negative aspects, the second dimension, and parameterised grading simultaneously. The theory of BCFN‐SS is the generalisation of two various theories, that is, bipolar complex fuzzy (BCF) and N‐SS. The invented model of BCFN‐SS helps decision‐makers to cope with the genuine‐life dilemmas containing BCF information along with parameterised grading at the same time. Further, various algebraic operations, including the usual type of union, intersection, complements, and a few others types, are invented. Certain primary operational laws for BCFN‐SS are also invented. Moreover, a technique for order preference by similarity to the ideal solution (TOPSIS) approach is devised in the setting of BCFN‐SS for managing strategic decision‐making (DM) dilemmas containing BCFN‐SS information. Keeping in mind the usefulness and benefits of the TOPSIS approach, two various types of TOPSIS approaches in the environment of BCFN‐SS are devised and then a numerical example for exposing the usefulness of the devised TOPSIS approach is interpreted. To disclose the prominence and benefits of the devised work, the devised approaches with numerous prevailing work are compared.

Keywords

QA76.75-76.765, Computational linguistics. Natural language processing, TOPSIS techniques, decision‐making, similarity measures, Computer software, P98-98.5, aggregation operators, bipolar complex fuzzy N‐soft sets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
gold