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ipsfs  

Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure
View on CRAN: Click here


Download and install ipsfs package within the R console
Install from CRAN:
install.packages("ipsfs")

Install from Github:
library("remotes")
install_github("cran/ipsfs")

Install by package version:
library("remotes")
install_version("ipsfs", "1.0.0")



Attach the package and use:
library("ipsfs")
Maintained by
Rama Ranjan Panda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-21
Latest Update: 2022-06-21
Description:
Advanced fuzzy logic based techniques are implemented to compute the similarity among different objects or items. Typically, application areas consist of transforming raw data into the corresponding advanced fuzzy logic representation and determining the similarity between two objects using advanced fuzzy similarity techniques in various fields of research, such as text classification, pattern recognition, software projects, decision-making, medical diagnosis, and market prediction. Functions are designed to compute the membership, non-membership, hesitant-membership, indeterminacy-membership, and refusal-membership for the input matrices. Furthermore, it also includes a large number of advanced fuzzy logic based similarity measure functions to compute the Intuitionistic fuzzy similarity (IFS), Pythagorean fuzzy similarity (PFS), and Spherical fuzzy similarity (SFS) between two objects or items based on their fuzzy relationships. It also includes working examples for each function with sample data sets.
How to cite:
Rama Ranjan Panda (2022). ipsfs: Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure. R package version 1.0.0, https://cran.r-project.org/web/packages/ipsfs. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for ipsfs
Functions, R codes and Examples using the ipsfs R package
Some associated functions: hmemIFS . hmemPFS . imemSFS . leftfootfinding . leftshoulderfinding . memG . memT . memTP . midvalue . mn . nonmemS . nonmemY . rightfootfinding . rightshoulderfinding . rmemSFS . simBA . simC . simDC . simGK . simHK . simHY1 . simHY2 . simHY3 . simHY4 . simJJLY . simKKDKS . simL . simM . simNNNG1 . simNNNG2 . simNSCA . simP . simPG1 . simPG2 . simPYY1 . simPYY2 . simPYY3 . simSGFDK1 . simSGFDK2 . simSGFDK3 . simSGFDK4 . simSGFDK5 . simSGFDK6 . simSGFDK7 . simSGFDK8 . simSWLX . simSY . simWW1 . simWW2 . simWW3 . simWW4 . simWW5 . simWW6 . simWWLWW1 . simWWLWW10 . simWWLWW2 . simWWLWW3 . simWWLWW4 . simWWLWW5 . simWWLWW6 . simWWLWW7 . simWWLWW8 . simWWLWW9 . simY . simZ . simZHFLL1 . simZHFLL2 . simZHFLL3 . simZHFLL4 . std . 
Some associated R codes: hmemIFS.R . hmemPFS.R . imemSFS.R . leftfootfinding.R . leftshoulderfinding.R . memG.R . memT.R . memTP.R . midvalue.R . mn.R . nonmemS.R . nonmemY.R . rightfootfinding.R . rightshoulderfinding.R . rmemSFS.R . simBA.R . simC.R . simDC.R . simGK.R . simHK.R . simHY1.R . simHY2.R . simHY3.R . simHY4.R . simJJLY.R . simKKDKS.R . simL.R . simM.R . simNNNG1.R . simNNNG2.R . simNSCA.R . simP.R . simPG1.R . simPG2.R . simPYY1.R . simPYY2.R . simPYY3.R . simSGFDK1.R . simSGFDK2.R . simSGFDK3.R . simSGFDK4.R . simSGFDK5.R . simSGFDK6.R . simSGFDK7.R . simSGFDK8.R . simSWLX.R . simSY.R . simWW1.R . simWW2.R . simWW3.R . simWW4.R . simWW5.R . simWW6.R . simWWLWW1.R . simWWLWW10.R . simWWLWW2.R . simWWLWW3.R . simWWLWW4.R . simWWLWW5.R . simWWLWW6.R . simWWLWW7.R . simWWLWW8.R . simWWLWW9.R . simY.R . simZ.R . simZHFLL1.R . simZHFLL2.R . simZHFLL3.R . simZHFLL4.R . std.R .  Full ipsfs package functions and examples
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