Possibility neutrosophic soft sets with applications in decision making and similarity measure

Faruk Karaaslan

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Possibility neutrosophic soft sets with applications in decision making and similarity measure

Faruk Karaaslan

Artificial Intelligence · Submitted 9 Jul 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Finally an application of this similarity measure is given to select suitable person for position in a firm.

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arXiv ID1407.3211 (version 1)

Pith IDCR7XA6DT, Pith's permanent record of this paper and its review

CitationFaruk Karaaslan. "Possibility neutrosophic soft sets with applications in decision making and similarity measure." arXiv:1407.3211 (2014). https://pith.science/paper/CR7XA6DT

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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,452 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.03 · human participants 0.19 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; show every role.

In this paper, concept of possibility neutrosophic soft set and its operations are defined, and their properties are studied. An application of this theory in decision making is investigated. Also a similarity measure of two possibility neutrosophic soft sets is introduced and discussed. Finally an application of this similarity measure is given to select suitable person for position in a firm.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	In this paper, concept of possibility neutrosophic soft set and its operations are defined, and their properties are studied.	contribution 1.00	0.93	0.11	asserted 1.00
s1	An application of this theory in decision making is investigated.	contribution 1.00	0.86	0.09	asserted 0.93
s2	Also a similarity measure of two possibility neutrosophic soft sets is introduced and discussed.	contribution 0.98	0.93	0.11	asserted 1.00
s3	Finally an application of this similarity measure is given to select suitable person for position in a firm.	contribution 0.95	0.91	0.18	asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.77 · evidence from proof or derivation 0.98.

What was examined, and what was not

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arXiv listing abstract v1

not examined

full text
figures and tables
references and citing sentences
relations to other papers

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P abstract

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S sections
T body sentences
C citations
R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

In this paper, concept of possibility neutrosophic soft set and its operations are defined, and their properties are studied. An application of this theory in decision making is investigated. Also a similarity measure of two possibility neutrosophic soft sets is introduced and discussed. Finally an application of this similarity measure is given to select suitable person for position in a firm.

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What this paper does with the arXiv papers it cites

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 1 sentence without a confident label

Cites as background 3 papers

In this paper, we recall some definitions, operation and their properties related to the neutrosophic soft set [ref] required in this paper.

Neutrosophic soft sets with applications in decision making · Preliminary · 0.99
Recently, the properties and applications on the neutrosophic soft sets have been studied increasingly [ref] .

Optimality of contraction-driven crawling · Introduction · 0.92
Recently, the properties and applications on the neutrosophic soft sets have been studied increasingly [ref] .

Interval-valued neutrosophic soft sets and its decision making · Introduction · 0.92

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