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Journals / Hacettepe Journal of Mathematics and Statistics / 2012 / Cilt: 41 - Sayı: 5

MEANS OF FP-SOFT SETS AND THEIR APPLICATIONS

Naim ÇAĞMAN
Irfan Deli
Pages
615–625
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We finally apply the method successfully to problems that contain fuzzy objects.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Soft set theory was firstly introduced by Molodtsov in 1999 as a general mathematical tool for dealing with problems that contain uncertainties.
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Key Findings & Data:In this paper, we first give most of the fundamental definitions of FPsoft set theory.
💡
Conclusion & Impact:We finally apply the method successfully to problems that contain fuzzy objects.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Soft sets · Fuzzy sets · FP-soft sets

Abstract

Soft set theory was firstly introduced by Molodtsov in 1999 as a general mathematical tool for dealing with problems that contain uncertainties. In this paper, we first give most of the fundamental definitions of FPsoft set theory. We secondly define means of FP-soft sets and study their related properties. We then define decision making methods on FP-soft set theory. We finally apply the method successfully to problems that contain fuzzy objects.

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Cite This Article

ÇAĞMAN, N., Deli, I. (2022). MEANS OF FP-SOFT SETS AND THEIR APPLICATIONS. Hacettepe Journal of Mathematics and Statistics, Cilt: 41 - Sayı: 5, 615–625. https://ajindex.com/articles/530455

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